R/DAISIE_rates.R
In xieshu95/Test-Trasie: Dynamical Assembly of Islands by Speciation, Immigration and Extinction
Defines functions
update_rates
update_rates_trait
island_area
get_ext_rate
get_ana_rate
get_clado_rate
get_immig_rate
get_trans_rate
get_t_hor
calc_next_timeval
DAISIE_calc_clade_ext_rate
DAISIE_calc_clade_ana_rate
DAISIE_calc_clade_clado_rate
DAISIE_calc_clade_imm_rate
Documented in
calc_next_timeval
DAISIE_calc_clade_ana_rate
DAISIE_calc_clade_clado_rate
DAISIE_calc_clade_ext_rate
DAISIE_calc_clade_imm_rate
get_ana_rate
get_clado_rate
get_ext_rate
get_immig_rate
get_t_hor
get_trans_rate
island_area
update_rates
#' Calculates algorithm rates
#' @description Internal function that updates the all the rates and
#' max extinction horizon at time t.
#' @family rates calculation
#' @param timeval A numeric with the current time of simulation
#' @param totaltime A numeric with the total time of simulation
#' @param gam A numeric with the per capita immigration rate
#' @param mu A numeric with the per capita extinction rate in no ontogeny model
#' @param laa A numeric with the per capita anagenesis rate
#' @param lac A numeric with the per capita cladogenesis rate
#' @param Apars A named list containing area parameters as created by create_area_params:
#' \itemize{
#' \item{[1]: maximum area}
#' \item{[2]: value from 0 to 1 indicating where in the island's history the
#' peak area is achieved}
#' \item{[3]: sharpness of peak}
#' \item{[4]: total island age}
#' }
#' @param Epars A numeric vector:
#' \itemize{
#' \item{[1]: minimum extinction when area is at peak}
#' \item{[2]: extinction rate when current area is 0.10 of maximum area}
#' }
#' @param Tpars A named list containing diversification rates considering two trait states:
#' \itemize{
#' \item{[1]:A numeric with the per capita transition rate with state1}
#' \item{[2]:A numeric with the per capita immigration rate with state2}
#' \item{[3]:A numeric with the per capita extinction rate with state2}
#' \item{[4]:A numeric with the per capita anagenesis rate with state2}
#' \item{[5]:A numeric with the per capita cladogenesis rate with state2}
#' \item{[6]:A numeric with the per capita transition rate with state2}
#' \item{[7]:A numeric with the number of species with trait state 2 on mainland}
#' }
#' @param island_ontogeny A string describing the type of island ontogeny.
#' Can be \code{NULL},
#' \code{"beta"} for a beta function describing area through time,
#' or \code{"linear"} for a linear function
#' @param extcutoff A numeric with the cutoff for extinction rate preventing it from being too
#' large and slowing down simulation. Should be big.
#' @param K A numeric with K (clade-specific carrying capacity)
#' @param island_spec A matrix containing state of system
#' @param mainland_n A numeirc with the total number of species present in the mainland
#' @param t_hor A numeric with the time of horizon for max cladogenesis, immigration and minimum extinction
update_rates <- function(timeval, totaltime,
gam, mu, laa, lac,
Apars = NULL, Epars = NULL,Tpars = NULL,
island_ontogeny = 0,
extcutoff,
K,
island_spec, mainland_n, t_hor = NULL) {
# Function to calculate rates at time = timeval. Returns list with each rate.
testit::assert(is.numeric(timeval))
testit::assert(is.numeric(totaltime))
testit::assert(is.numeric(gam))
testit::assert(is.numeric(mu))
testit::assert(is.numeric(laa))
testit::assert(is.numeric(lac))
testit::assert(is.null(Tpars) || are_trait_state_params(Tpars))
testit::assert(is.null(Apars) || are_area_params(Apars))
testit::assert(is.null(Epars) || is.numeric(Epars))
testit::assert(is.numeric(island_ontogeny))
testit::assert(is.numeric(extcutoff) || is.null(extcutoff))
testit::assert(is.numeric(K))
testit::assert(is.matrix(island_spec) || is.null(island_spec))
testit::assert(is.numeric(mainland_n))
testit::assert(is.numeric(t_hor) || is.null(t_hor))
if (!is.null(Tpars)) {
return(
update_rates_trait(
timeval = timeval,
totaltime = totaltime,
gam = gam, mu = mu, laa = laa, lac = lac,
Apars = Apars,
Epars = Epars,
Tpars = Tpars,
island_ontogeny = island_ontogeny,
extcutoff = extcutoff,
K = K,
island_spec = island_spec,
mainland_n = mainland_n,
t_hor = t_hor
)
)
}
immig_rate <- get_immig_rate(timeval = timeval,
totaltime = totaltime,
gam = gam,
Apars = Apars,
Tpars = Tpars,
island_ontogeny = island_ontogeny,
island_spec = island_spec,
K = K,
mainland_n = mainland_n)
ext_rate <- get_ext_rate(timeval = timeval,
mu = mu,
Tpars = Tpars,
Apars = Apars,
Epars = Epars,
island_ontogeny = island_ontogeny,
extcutoff = extcutoff,
island_spec = island_spec,
K = K)
ana_rate <- get_ana_rate(laa = laa,
Tpars = Tpars,
island_spec = island_spec)
clado_rate <- get_clado_rate(timeval = timeval,
lac = lac,
Apars = Apars,
Tpars = Tpars,
island_ontogeny = island_ontogeny,
island_spec = island_spec,
K = K)
if ((island_ontogeny) == 0) {
immig_rate_max <- immig_rate
ext_rate_max <- ext_rate
clado_rate_max <- clado_rate
testit::assert(is.numeric(immig_rate_max))
testit::assert(is.numeric(ext_rate_max))
testit::assert(is.numeric(clado_rate_max))
} else if ((Apars$proportional_peak_t * Apars$total_island_age) > timeval) {
ext_rate_max <- ext_rate
testit::assert(is.numeric(ext_rate_max))
testit::assert(is.null(Tpars))
immig_rate_max <- get_immig_rate(timeval = Apars$proportional_peak_t * Apars$total_island_age,
totaltime = totaltime,
gam = gam,
mainland_n = mainland_n,
Apars = Apars,
Tpars = Tpars,
island_ontogeny = island_ontogeny,
island_spec = island_spec,
K = K)
testit::assert(is.numeric(immig_rate_max))
clado_rate_max <- get_clado_rate(timeval = Apars$proportional_peak_t * Apars$total_island_age, # SHOULD BE GENERALIZED
lac = lac,
Apars = Apars,
Tpars = Tpars,
island_ontogeny = island_ontogeny,
island_spec = island_spec,
K = K)
testit::assert(is.numeric(clado_rate_max))
} else {
# Ontogeny, max rate is t_hor, which in this case is totaltime (from hor)
ext_rate_max <- get_ext_rate(timeval = t_hor,
mu = mu,
Apars = Apars,
Epars = Epars,
Tpars = Tpars,
island_ontogeny = island_ontogeny,
extcutoff = extcutoff,
island_spec = island_spec,
K = K)
testit::assert(is.numeric(ext_rate_max) && ext_rate_max >= 0.0)
immig_rate_max <- immig_rate
testit::assert(is.numeric(immig_rate_max))
clado_rate_max <- clado_rate
testit::assert(is.numeric(clado_rate_max))
}
rates <- create_rates(
immig_rate = immig_rate,
ext_rate = ext_rate,
ana_rate = ana_rate,
clado_rate = clado_rate,
ext_rate_max = ext_rate_max,
immig_rate_max = immig_rate_max,
clado_rate_max = clado_rate_max,
Tpars = Tpars)
return(rates)
}
update_rates_trait <- function(timeval, totaltime,
gam, mu, laa, lac,
Apars = NULL,
Epars = NULL,
Tpars = NULL,
island_ontogeny = 0,
extcutoff,
K,
island_spec, mainland_n, t_hor = NULL) {
# Function to calculate rates at time = timeval. Returns list with each rate.
testit::assert(is.numeric(timeval))
testit::assert(is.numeric(totaltime))
testit::assert(is.numeric(gam))
testit::assert(is.numeric(mu))
testit::assert(is.numeric(laa))
testit::assert(is.numeric(lac))
testit::assert(is.null(Tpars) || are_trait_state_params(Tpars))
testit::assert(is.null(Apars) || are_area_params(Apars))
testit::assert(is.null(Epars) || is.numeric(Epars))
testit::assert(is.numeric(island_ontogeny))
testit::assert(is.numeric(extcutoff) || is.null(extcutoff))
testit::assert(is.numeric(K))
testit::assert(is.matrix(island_spec) || is.null(island_spec))
testit::assert(is.numeric(mainland_n))
testit::assert(is.numeric(t_hor) || is.null(t_hor))
immig_rate <- get_immig_rate(timeval = timeval,
totaltime = totaltime,
gam = gam,
Apars = Apars,
Tpars = Tpars,
island_ontogeny = island_ontogeny,
island_spec = island_spec,
K = K,
mainland_n = mainland_n)
ext_rate <- get_ext_rate(timeval = timeval,
mu = mu,
Tpars = Tpars,
Apars = Apars,
Epars = Epars,
island_ontogeny = island_ontogeny,
extcutoff = extcutoff,
island_spec = island_spec,
K = K)
ana_rate <- get_ana_rate(laa = laa,
Tpars = Tpars,
island_spec = island_spec)
clado_rate <- get_clado_rate(timeval = timeval,
lac = lac,
Apars = Apars,
Tpars = Tpars,
island_ontogeny = island_ontogeny,
island_spec = island_spec,
K = K)
if ((island_ontogeny) == 0) {
immig_rate_max <- max(unlist(immig_rate))
ext_rate_max <- max(unlist(ext_rate))
clado_rate_max <- max(unlist(clado_rate))
testit::assert(is.numeric(immig_rate_max))
testit::assert(is.numeric(ext_rate_max))
testit::assert(is.numeric(clado_rate_max))
}
### Currently don't consider ontogeny and two trait states simutaneously!
# } else if ((Apars$proportional_peak_t * Apars$total_island_age) > timeval) {
# ext_rate_max <- max(unlist(ext_rate))
# testit::assert(is.numeric(ext_rate_max))
# testit::assert(is.null(Tpars))
# immig_rate_max <- get_immig_rate(timeval = Apars$proportional_peak_t * Apars$total_island_age,
# totaltime = totaltime,
# gam = gam,
# mainland_n = mainland_n,
# Apars = Apars,
# Tpars = Tpars,
# island_ontogeny = island_ontogeny,
# island_spec = island_spec,
# K = K)
# testit::assert(is.numeric(immig_rate_max))
#
# clado_rate_max <- get_clado_rate(timeval = Apars$proportional_peak_t * Apars$total_island_age, # SHOULD BE GENERALIZED
# lac = lac,
# Apars = Apars,
# Tpars = Tpars,
# island_ontogeny = island_ontogeny,
# island_spec = island_spec,
# K = K)
# testit::assert(is.numeric(clado_rate_max))
#
# } else {
# testit::assert(is.null(Tpars))
# # Ontogeny, max rate is t_hor, which in this case is totaltime (from hor)
# ext_rate_max <- get_ext_rate(timeval = t_hor,
# mu = mu,
# Apars = Apars,
# Epars = Epars,
# Tpars = Tpars,
# island_ontogeny = island_ontogeny,
# extcutoff = extcutoff,
# island_spec = island_spec,
# K = K)
#
# testit::assert(is.numeric(ext_rate_max) && ext_rate_max >= 0.0)
# immig_rate_max <- immig_rate
# testit::assert(is.numeric(immig_rate_max))
# clado_rate_max <- clado_rate
# testit::assert(is.numeric(clado_rate_max))
# }
testit::assert(!is.null(Tpars))
trans_rate <- get_trans_rate(Tpars = Tpars,
island_spec = island_spec)
Tpars <- create_trait_state_params(trans_rate = trans_rate$trans_rate1,
immig_rate2 = immig_rate$immig_rate2,
ext_rate2 = ext_rate$ext_rate2,
ana_rate2 = ana_rate$ana_rate2,
clado_rate2 = clado_rate$clado_rate2,
trans_rate2 = trans_rate$trans_rate2,
M2 = Tpars$M2)
immig_rate <- immig_rate$immig_rate1
ana_rate <- ana_rate$ana_rate1
ext_rate <- ext_rate$ext_rate1
clado_rate <- clado_rate$clado_rate1
rates <- create_rates(
immig_rate = immig_rate,
ext_rate = ext_rate,
ana_rate = ana_rate,
clado_rate = clado_rate,
ext_rate_max = ext_rate_max,
immig_rate_max = immig_rate_max,
clado_rate_max = clado_rate_max,
Tpars = Tpars)
return(rates)
}
#' Function to describe changes in area through time. Adapted from
#' Valente et al 2014 ProcB
#' @param timeval current time of simulation
#' @param Apars a named list containing area parameters as created by create_area_params:
#' \itemize{
#' \item{[1]: maximum area}
#' \item{[2]: value from 0 to 1 indicating where in the island's history the
#' peak area is achieved}
#' \item{[3]: sharpness of peak}
#' \item{[4]: total island age}
#' }
#' @param island_ontogeny a string describing the type of island ontogeny. Can be \code{NULL},
#' \code{"beta"} for a beta function describing area through time,
#' or \code{"linear"} for a linear function
#' @export
#' @family rates calculation
#' @author Pedro Neves
#' @references Valente, Luis M., Rampal S. Etienne, and Albert B. Phillimore.
#' "The effects of island ontogeny on species diversity and phylogeny."
#' Proceedings of the Royal Society of London B: Biological Sciences 281.1784 (2014): 20133227.
island_area <- function(timeval, Apars, island_ontogeny) {
testit::assert(are_area_params(Apars))
Tmax <- Apars$total_island_age
Amax <- Apars$max_area
Topt <- Apars$proportional_peak_t
peak <- Apars$peak_sharpness
proptime <- timeval/Tmax
# Constant
if(island_ontogeny == 0)
{
if(Amax != 1 || is.null(Amax))
{
warning('Constant ontogeny requires a maximum area of 1.')
}
return(1)
}
# Linear decline
if (island_ontogeny == 1) {
b <- Amax # intercept (peak area)
m <- -(b / Topt) # slope
At <- m * timeval + b
return(At)
}
# Beta function
if (island_ontogeny == 2) {
f <- Topt / (1 - Topt)
a <- f * peak / (1 + f)
b <- peak / (1 + f)
At <-
Amax * proptime ^ a * (1 - proptime) ^ b / ((a / (a + b)) ^ a * (b / (a + b)) ^ b)
return(At)
}
}
#' Function to describe changes in extinction rate through time. From
#' Valente et al 2014 ProcB
#' @param timeval current time of simulation
#' @param mu per capita extinction rate in no ontogeny model
#' @param Apars a named list containing area parameters as created by create_area_params:
#' \itemize{
#' \item{[1]: maximum area}
#' \item{[2]: value from 0 to 1 indicating where in the island's history the
#' peak area is achieved}
#' \item{[3]: sharpness of peak}
#' \item{[4]: total island age}
#' }
#' @param Epars a numeric vector:
#' \itemize{
#' \item{[1]: minimum extinction when area is at peak}
#' \item{[2]: extinction rate when current area is 0.10 of maximum area}
#' }
#' @param Tpars A named list containing diversification rates considering two trait states:
#' \itemize{
#' \item{[1]:A numeric with the per capita transition rate with state1}
#' \item{[2]:A numeric with the per capita immigration rate with state2}
#' \item{[3]:A numeric with the per capita extinction rate with state2}
#' \item{[4]:A numeric with the per capita anagenesis rate with state2}
#' \item{[5]:A numeric with the per capita cladogenesis rate with state2}
#' \item{[6]:A numeric with the per capita transition rate with state2}
#' \item{[7]:A numeric with the number of species with trait state 2 on mainland}
#' }
#' @param island_ontogeny a string describing the type of island ontogeny.
#' Can be \code{NULL},
#' \code{"beta"} for a beta function describing area through time,
#' or \code{"linear"} for a linear function
#' @param extcutoff cutoff for extinction rate preventing it from being too
#' large and slowing down simulation. Default is 1100
#' @param island_spec matrix containing state of system
#' @param K carrying capacity
#' @export
#' @seealso Does the same as \link{DAISIE_calc_clade_ext_rate}
#' @family rates calculation
#' @references Valente, Luis M., Rampal S. Etienne, and Albert B. Phillimore.
#' "The effects of island ontogeny on species diversity and phylogeny."
#' Proceedings of the Royal Society of London B: Biological Sciences 281.1784 (2014): 20133227.
#' @author Pedro Neves
get_ext_rate <- function(timeval,
mu,
Tpars,
Apars,
Epars,
island_ontogeny,
extcutoff = 1100,
island_spec,
K){
testit::assert(is.numeric(island_ontogeny))
if (is.null(Tpars)){ ##without considering trait states
# Make function accept island_spec matrix or numeric
if (is.matrix(island_spec) || is.null(island_spec)) {
N <- length(island_spec[, 1])
} else if (is.numeric(island_spec)) {
N <- island_spec
}
if (island_ontogeny == 0) {
ext_rate <- mu * N
testit::assert(is.numeric(ext_rate))
testit::assert(ext_rate >= 0)
return(ext_rate)
} else {
X <- log(Epars[1] / Epars[2]) / log(0.1)
ext_rate <-
Epars[1] / ((island_area(timeval, Apars, island_ontogeny) /
Apars$max_area)^X)
ext_rate[which(ext_rate > extcutoff)] <- extcutoff
ext_rate <- ext_rate * N
testit::assert(is.numeric(ext_rate))
testit::assert(ext_rate >= 0)
ext_rate
}
}else{ ##species have two states
if (is.matrix(island_spec) || is.null(island_spec)) {
N1 <- length(which(island_spec[, 8] == "1"))
N2 <- length(which(island_spec[, 8] == "2"))
} else if (is.numeric(island_spec)) {
stop("Different trait states cannot be separated,please transform to matrix form.")
}
ext_rate1 <- mu * N1
ext_rate2 <- Tpars$ext_rate2 * N2
testit::assert(is.numeric(ext_rate1))
testit::assert(is.numeric(ext_rate2))
testit::assert(ext_rate1 >= 0)
testit::assert(ext_rate2 >= 0)
ext_list <- list(ext_rate1 = ext_rate1,
ext_rate2 = ext_rate2)
return(ext_list)
}
}
#' Calculate anagenesis rate
#' @description Internal function.
#' Calculates the anagenesis rate given the current number of
#' immigrant species and the per capita rate.
#' @param laa per capita anagenesis rate
#' @param Tpars A named list containing diversification rates considering two trait states:
#' \itemize{
#' \item{[1]:A numeric with the per capita transition rate with state1}
#' \item{[2]:A numeric with the per capita immigration rate with state2}
#' \item{[3]:A numeric with the per capita extinction rate with state2}
#' \item{[4]:A numeric with the per capita anagenesis rate with state2}
#' \item{[5]:A numeric with the per capita cladogenesis rate with state2}
#' \item{[6]:A numeric with the per capita transition rate with state2}
#' \item{[7]:A numeric with the number of species with trait state 2 on mainland}
#' }
#' @param island_spec matrix with current state of system
#' @seealso Does the same as \link{DAISIE_calc_clade_ana_rate}
#' @family rates calculation
#' @author Pedro Neves
get_ana_rate <- function(laa,
Tpars = NULL,
island_spec) {
if(is.null(Tpars)){
ana_rate = laa * length(which(island_spec[,4] == "I"))
testit::assert(is.numeric(ana_rate))
testit::assert(ana_rate >= 0)
ana_rate
}else{
ana_rate1 = laa * length(intersect(which(island_spec[,4] == "I"), which(island_spec[,8] == "1")))
ana_rate2 = Tpars$ana_rate2 * length(intersect(which(island_spec[,4] == "I"), which(island_spec[,8] == "2")))
testit::assert(is.numeric(ana_rate1))
testit::assert(ana_rate1 >= 0)
testit::assert(is.numeric(ana_rate2))
testit::assert(ana_rate2 >= 0)
ana_list <- list(ana_rate1 = ana_rate1,
ana_rate2 = ana_rate2)
return(ana_list)
}
}
#' Calculate cladogenesis rate
#' @description Internal function.
#' Calculates the cladogenesis rate given the current number of
#' species in the system, the carrying capacity and the per capita cladogenesis
#' rate
#' @param timeval current time of simulation
#' @param lac per capita cladogenesis rate
#' @param Apars a named list containing area parameters as created by create_area_params:
#' \itemize{
#' \item{[1]: maximum area}
#' \item{[2]: value from 0 to 1 indicating where in the island's history the
#' peak area is achieved}
#' \item{[3]: sharpness of peak}
#' \item{[4]: total island age}
#' }
#' @param Tpars A named list containing diversification rates considering two trait states:
#' \itemize{
#' \item{[1]:A numeric with the per capita transition rate with state1}
#' \item{[2]:A numeric with the per capita immigration rate with state2}
#' \item{[3]:A numeric with the per capita extinction rate with state2}
#' \item{[4]:A numeric with the per capita anagenesis rate with state2}
#' \item{[5]:A numeric with the per capita cladogenesis rate with state2}
#' \item{[6]:A numeric with the per capita transition rate with state2}
#' \item{[7]:A numeric with the number of species with trait state 2 on mainland}
#' }
#' @param island_ontogeny a string describing the type of island ontogeny.
#' Can be \code{NULL},
#' \code{"beta"} for a beta function describing area through time,
#' or \code{"linear"} for a linear function
#' @param island_spec matrix with current state of system
#' @param K carrying capacity
#' @export
#' @seealso Does the same as \link{DAISIE_calc_clade_clado_rate}
#' @author Pedro Neves
#' @references Valente, Luis M., Rampal S. Etienne, and Albert B. Phillimore.
#' "The effects of island ontogeny on species diversity and phylogeny."
#' Proceedings of the Royal Society of London B: Biological Sciences 281.1784 (2014): 20133227.
get_clado_rate <- function(timeval,
lac,
Tpars = NULL,
Apars,
island_ontogeny,
island_spec,
K) {
if(is.null(Tpars)) {
# Make function accept island_spec matrix or numeric
if (is.matrix(island_spec) || is.null(island_spec)) {
N <- length(island_spec[,1])
} else if (is.numeric(island_spec)) {
N <- island_spec
}
# No ontogeny scenario
testit::assert(is.numeric(island_ontogeny))
if (island_ontogeny == 0) {
clado_rate <- max(c(N * lac * (1 - N / K), 0), na.rm = T)
testit::assert(clado_rate >= 0)
testit::assert(is.numeric(clado_rate))
return(clado_rate)
# Ontogeny scenario
} else {
clado_rate <- max(c(
N * lac * island_area(timeval, Apars, island_ontogeny) *
(1 - N / (island_area(
timeval,
Apars,
island_ontogeny) * K)), 0), na.rm = T)
testit::assert(clado_rate >= 0)
testit::assert(is.numeric(clado_rate))
return(clado_rate)
}
}else{
# Shu's work
if (is.matrix(island_spec) || is.null(island_spec)) {
N1 <- length(which(island_spec[, 8] == "1"))
N2 <- length(which(island_spec[, 8] == "2"))
} else if (is.numeric(island_spec)) {
stop("Different trait states cannot be separated,please transform to matrix form.")
}
clado_rate1 <- max(c(N1 * lac * (1 - (N1 + N2) / K), 0), na.rm = T)
clado_rate2 <- max(c(N2 * Tpars$clado_rate2 * (1 - (N1 + N2) / K), 0), na.rm = T)
testit::assert(clado_rate1 >= 0)
testit::assert(clado_rate2 >= 0)
testit::assert(is.numeric(clado_rate1))
testit::assert(is.numeric(clado_rate2))
clado_list <- list(clado_rate1 = clado_rate1,
clado_rate2 = clado_rate2)
return(clado_list)
}
}
#' Calculate immigration rate
#' @description Internal function.
#' Calculates the immigration rate given the current number of
#' species in the system, the carrying capacity
#' @param timeval current time of simulation
#' @param totaltime total time of simulation
#' @param gam per capita immigration rate
#' @param Apars a named list containing area parameters as created by create_area_params:
#' \itemize{
#' \item{[1]: maximum area}
#' \item{[2]: value from 0 to 1 indicating where in the island's history the
#' peak area is achieved}
#' \item{[3]: sharpness of peak}
#' \item{[4]: total island age}
#' }
#' @param Tpars A named list containing diversification rates considering two trait states:
#' \itemize{
#' \item{[1]:A numeric with the per capita transition rate with state1}
#' \item{[2]:A numeric with the per capita immigration rate with state2}
#' \item{[3]:A numeric with the per capita extinction rate with state2}
#' \item{[4]:A numeric with the per capita anagenesis rate with state2}
#' \item{[5]:A numeric with the per capita cladogenesis rate with state2}
#' \item{[6]:A numeric with the per capita transition rate with state2}
#' \item{[7]:A numeric with the number of species with trait state 2 on mainland}
#' }
#' @param island_ontogeny a string describing the type of island ontogeny.
#' Can be \code{NULL},
#' \code{"beta"} for a beta function describing area through time,
#' or \code{"linear"} for a linear function
#' @param island_spec matrix with current state of system
#' @param K carrying capacity
#' @param mainland_n total number of species present in the mainland
#' @seealso Does the same as \link{DAISIE_calc_clade_imm_rate}
#' @family rates calculation
#' @author Pedro Neves
#' @references Valente, Luis M., Rampal S. Etienne, and Albert B. Phillimore.
#' "The effects of island ontogeny on species diversity and phylogeny."
#' Proceedings of the Royal Society of London B: Biological Sciences 281.1784 (2014): 20133227.
get_immig_rate <- function(timeval,
totaltime,
gam,
Apars,
Tpars = NULL,
island_ontogeny,
island_spec,
K,
mainland_n) {
N <- length(island_spec[, 1])
testit::assert(is.numeric(island_ontogeny))
if(is.null(Tpars)){
if (island_ontogeny == 0) {
immig_rate <- max(
c(mainland_n * gam * (1 - length(island_spec[, 1]) / K), 0),
na.rm = T
)
testit::assert(is.numeric(immig_rate))
testit::assert(immig_rate >= 0)
return(immig_rate)
} else {
immig_rate <- max(c(mainland_n * gam * (1 - length(island_spec[, 1]) / ( ##Trai-DAISIE need to calculate ntotal
island_area(timeval,
Apars,
island_ontogeny) * K)), 0), na.rm = T)
}
testit::assert(is.numeric(immig_rate))
testit::assert(immig_rate >= 0)
immig_rate
}else{
if (is.matrix(island_spec) || is.null(island_spec)) {
N1 <- length(which(island_spec[, 8] == "1"))
N2 <- length(which(island_spec[, 8] == "2"))
} else if (is.numeric(island_spec)) {
stop("Different trait states cannot be separated,please transform to matrix form.")
}
mainland_n2 <- Tpars$M2
gam2 <- Tpars$immig_rate2
immig_rate1 <- max(
c(mainland_n * gam * (1 - (N1 + N2) / K), 0),
na.rm = T
)
immig_rate2 <- max(
c(mainland_n2 * gam2 * (1 - (N1 + N2) / K), 0),
na.rm = T
)
testit::assert(is.numeric(immig_rate1))
testit::assert(immig_rate1 >= 0)
testit::assert(is.numeric(immig_rate2))
testit::assert(immig_rate2 >= 0)
immig_list <- list(immig_rate1 = immig_rate1,
immig_rate2 = immig_rate2)
return(immig_list)
}
}
#' Calculate transition rate
#' @description Internal function.
#' Calculates the transition rate given the current number of
#' immigrant species and the per capita rate.
#' @param Tpars A named list containing diversification rates considering two trait states:
#' \itemize{
#' \item{[1]:A numeric with the per capita transition rate with state1}
#' \item{[2]:A numeric with the per capita immigration rate with state2}
#' \item{[3]:A numeric with the per capita extinction rate with state2}
#' \item{[4]:A numeric with the per capita anagenesis rate with state2}
#' \item{[5]:A numeric with the per capita cladogenesis rate with state2}
#' \item{[6]:A numeric with the per capita transition rate with state2}
#' \item{[7]:A numeric with the number of species with trait state 2 on mainland}
#' }
#' @param island_spec matrix with current state of system
#' @family rates calculation
get_trans_rate <- function(Tpars,
island_spec){
if(is.null(Tpars)){
stop("Transition rate only calculate when exists more than one trait state.") #or trans_rate = NULL
}else{
# Make function accept island_spec matrix or numeric
if (is.matrix(island_spec) || is.null(island_spec)) {
N1 <- length(which(island_spec[, 8] == "1"))
N2 <- length(which(island_spec[, 8] == "2"))
} else if (is.numeric(island_spec)) {
stop("Different trait states cannot be separated,please transform to matrix form.")
}
trans_rate1 <- Tpars$trans_rate * N1
trans_rate2 <- Tpars$trans_rate2 * N2
testit::assert(is.numeric(trans_rate1))
testit::assert(trans_rate1 >= 0)
testit::assert(is.numeric(trans_rate2))
testit::assert(trans_rate2 >= 0)
trans_list <- list(trans_rate1 = trans_rate1,
trans_rate2 = trans_rate2)
return(trans_list)
}
}
#' Function to calculate and update horizon for maximum extinction rate
#' @description Internal function.
#' Calculates when the next horizon for maximum extinction will be in the
#' simulation
#' @param timeval current time of simulation
#' @param totaltime total time of simulation
#' @param Apars a named list containing area parameters as created by create_area_params:
#' \itemize{
#' \item{[1]: maximum area}
#' \item{[2]: value from 0 to 1 indicating where in the island's history the
#' peak area is achieved}
#' \item{[3]: sharpness of peak}
#' \item{[4]: total island age}
#' }
#' @param Tpars A named list containing diversification rates considering two trait states:
#' \itemize{
#' \item{[1]:A numeric with the per capita transition rate with state1}
#' \item{[2]:A numeric with the per capita immigration rate with state2}
#' \item{[3]:A numeric with the per capita extinction rate with state2}
#' \item{[4]:A numeric with the per capita anagenesis rate with state2}
#' \item{[5]:A numeric with the per capita cladogenesis rate with state2}
#' \item{[6]:A numeric with the per capita transition rate with state2}
#' \item{[7]:A numeric with the number of species with trait state 2 on mainland}
#' }
#' @param ext_multiplier reduces or increases distance of horizon to current
#' simulation time
#' @param island_ontogeny a string describing the type of island ontogeny.
#' Can be \code{NULL}, \code{"beta"} for a beta function
#' describing area through time, or \code{"linear"} for a linear function
#' @param ext effective extinction rate at timeval
#' @param t_hor time of horizon for max extinction
#'
#' @family rates calculation
#' @author Pedro Neves
get_t_hor <- function(timeval,
totaltime,
Tpars,
Apars,
ext,
ext_multiplier,
island_ontogeny,
t_hor) {
################~~~TODO~~~#####################
# Use optimize (optimize(island_area, interval = c(0, 10), maximum = TRUE, Apars = create_area_params(1000, 0.1, 1, 17), island_ontogeny = "beta"))
# to select maximum point to identify maximum of function
###############################################
testit::assert(is.null(Apars) || are_area_params(Apars))
# Function calculates where the horizon for max(ext_rate) is.
if (island_ontogeny == 0) {
testit::assert(totaltime > 0.0)
t_hor <- totaltime
} else if(!is.null(Tpars)){
testit::assert(totaltime > 0.0)
t_hor <- totaltime
}else{
if (is.null(t_hor)) {
testit::assert(are_area_params(Apars))
# This is the time at which Amax is reached
t_hor <- Apars$proportional_peak_t * Apars$total_island_age
} else if (timeval >= t_hor) {
# t_hor should dynamically be adjusted depending on parameter values.
# Certain parameter combinations will always make it be > totaltime at
# first calculation, slowing down the simulations
t_hor <- t_hor + t_hor / 6 + ext_multiplier * (totaltime - timeval) * ext
t_hor <- min(totaltime, t_hor)
}
testit::assert(t_hor > 0.0)
}
return(t_hor)
}
#' Calculates when the next timestep will be.
#'
#' @param rates list of numeric with probabilities of each event
#' @param timeval current time of simulation
#' @param Tpars A named list containing diversification rates considering two trait states:
#' \itemize{
#' \item{[1]:A numeric with the per capita transition rate with state1}
#' \item{[2]:A numeric with the per capita immigration rate with state2}
#' \item{[3]:A numeric with the per capita extinction rate with state2}
#' \item{[4]:A numeric with the per capita anagenesis rate with state2}
#' \item{[5]:A numeric with the per capita cladogenesis rate with state2}
#' \item{[6]:A numeric with the per capita transition rate with state2}
#' \item{[7]:A numeric with the number of species with trait state 2 on mainland}
#' }
#' @return named list with numeric vector containing the time of the next
#' timestep and the change in time.
#' @author Pedro Neves
calc_next_timeval <- function(rates = rates,
timeval = timeval,
Tpars = Tpars) {
# Calculates when next event will happen
testit::assert(are_rates(rates))
testit::assert(timeval >= 0)
if(is.null(Tpars)){
totalrate <- rates$immig_rate_max +
rates$ana_rate +
rates$clado_rate_max +
rates$ext_rate_max
}else{
totalrate <- rates$immig_rate +
rates$ana_rate +
rates$clado_rate +
rates$ext_rate +
rates$trans_rate +
rates$immig_rate2 +
rates$ana_rate2 +
rates$clado_rate2 +
rates$ext_rate2 +
rates$trans_rate2
}
dt <- stats::rexp(1, totalrate)
timeval <- timeval + dt
return(list(timeval = timeval, dt = dt))
}
#' Calculate the clade-wide extinction rate
#' @param ps_ext_rate per species extinction rate
#' @param n_species number of species in that clade
#' @return the clade's extinction rate
#' @author Richel J.C. Bilderbeek
#' @examples
#' testit::assert(
#' DAISIE_calc_clade_ext_rate(
#' ps_ext_rate = 0.2,
#' n_species = 4
#' ) == 0.8
#' )
#' @export
DAISIE_calc_clade_ext_rate <- function(ps_ext_rate, n_species) {
testit::assert(ps_ext_rate >= 0.0)
testit::assert(n_species >= 0)
ps_ext_rate * n_species
}
#' Calculate the clade-wide effective anagenesis rate.
#' With 'effective', this means that if an immigrant
#' undergoes anagenesis, it will become a new species.
#' Would such a species undergo anagenesis again, no net new
#' species is created; the species only gets renamed
#' @param ps_ana_rate per species anagensis rate
#' @param n_immigrants number of immigrants in that clade
#' @return the clade's effective anagenesis rate
#' @author Richel J.C. Bilderbeek
#' @examples
#' testit::assert(
#' DAISIE_calc_clade_ana_rate(
#' ps_ana_rate = 0.3,
#' n_immigrants = 5
#' ) == 1.5
#' )
#' @export
DAISIE_calc_clade_ana_rate <- function(ps_ana_rate, n_immigrants) {
testit::assert(ps_ana_rate >= 0.0)
testit::assert(n_immigrants >= 0)
ps_ana_rate * n_immigrants
}
#' Calculate the clade-wide cladogenesis rate.
#' @param ps_clado_rate per species cladogenesis rate
#' @param n_species number of species in that clade
#' @param carr_cap carrying capacity, number of species this clade will
#' grow to
#' @return the clade's cladogenesis rate, which is at least zero. This
#' rate will be zero if there are more species than the carrying capacity
#' allows for
#' @note For clade-specific carrying capacity,
#' each clade is simulated seperately in \code{\link{DAISIE_sim}}
#' @author Richel J.C. Bilderbeek
#' @examples
#' testit::assert(
#' DAISIE_calc_clade_clado_rate(
#' ps_clado_rate = 0.2,
#' n_species = 5,
#' carr_cap = 10
#' ) == 0.5
#' )
#' testit::assert(
#' DAISIE_calc_clade_clado_rate(
#' ps_clado_rate = 0.2,
#' n_species = 2,
#' carr_cap = 1
#' ) == 0.0
#' )
#' @export
DAISIE_calc_clade_clado_rate <- function(ps_clado_rate, n_species, carr_cap) {
testit::assert(ps_clado_rate >= 0.0)
testit::assert(n_species >= 0)
testit::assert(carr_cap >= 0)
return(max(
0.0,
n_species * ps_clado_rate * (1.0 - (n_species / carr_cap))
))
}
#' Calculate the clade-wide immigration rate.
#' @param ps_imm_rate per species immigration rate
#' @param n_island_species number of species in that clade on the island
#' @param n_mainland_species number of species in that clade on the mainland
#' @param carr_cap carrying capacity, number of species this clade will
#' grow to
#' @return the clade's immigration rate, which is at least zero. This
#' rate will be zero if there are more species than the carrying capacity
#' allows for
#' @author Richel J.C. Bilderbeek
#' @examples
#' testit::assert(
#' DAISIE_calc_clade_imm_rate(
#' ps_imm_rate = 0.1,
#' n_island_species = 5,
#' n_mainland_species = 2,
#' carr_cap = 10
#' ) == 0.1
#' )
#' testit::assert(
#' DAISIE_calc_clade_imm_rate(
#' ps_imm_rate = 0.1,
#' n_island_species = 5,
#' n_mainland_species = 2,
#' carr_cap = 1
#' ) == 0.0
#' )
#' @export
DAISIE_calc_clade_imm_rate <- function(
ps_imm_rate,
n_island_species,
n_mainland_species,
carr_cap
) {
testit::assert(ps_imm_rate >= 0.0)
testit::assert(n_island_species >= 0)
testit::assert(n_mainland_species >= 0)
testit::assert(carr_cap >= 0)
return(max(
0.0,
n_mainland_species * ps_imm_rate * (1.0 - (n_island_species / carr_cap))
))
}
xieshu95/Test-Trasie documentation built on Dec. 18, 2019, 7:34 a.m.
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Defines functions update_rates update_rates_trait island_area get_ext_rate get_ana_rate get_clado_rate get_immig_rate get_trans_rate get_t_hor calc_next_timeval DAISIE_calc_clade_ext_rate DAISIE_calc_clade_ana_rate DAISIE_calc_clade_clado_rate DAISIE_calc_clade_imm_rate
Documented in calc_next_timeval DAISIE_calc_clade_ana_rate DAISIE_calc_clade_clado_rate DAISIE_calc_clade_ext_rate DAISIE_calc_clade_imm_rate get_ana_rate get_clado_rate get_ext_rate get_immig_rate get_t_hor get_trans_rate island_area update_rates
#' Calculates algorithm rates
#' @description Internal function that updates the all the rates and
#' max extinction horizon at time t.
#' @family rates calculation
#' @param timeval A numeric with the current time of simulation
#' @param totaltime A numeric with the total time of simulation
#' @param gam A numeric with the per capita immigration rate
#' @param mu A numeric with the per capita extinction rate in no ontogeny model
#' @param laa A numeric with the per capita anagenesis rate
#' @param lac A numeric with the per capita cladogenesis rate
#' @param Apars A named list containing area parameters as created by create_area_params:
#' \itemize{
#' \item{[1]: maximum area}
#' \item{[2]: value from 0 to 1 indicating where in the island's history the
#' peak area is achieved}
#' \item{[3]: sharpness of peak}
#' \item{[4]: total island age}
#' }
#' @param Epars A numeric vector:
#' \itemize{
#' \item{[1]: minimum extinction when area is at peak}
#' \item{[2]: extinction rate when current area is 0.10 of maximum area}
#' }
#' @param Tpars A named list containing diversification rates considering two trait states:
#' \itemize{
#' \item{[1]:A numeric with the per capita transition rate with state1}
#' \item{[2]:A numeric with the per capita immigration rate with state2}
#' \item{[3]:A numeric with the per capita extinction rate with state2}
#' \item{[4]:A numeric with the per capita anagenesis rate with state2}
#' \item{[5]:A numeric with the per capita cladogenesis rate with state2}
#' \item{[6]:A numeric with the per capita transition rate with state2}
#' \item{[7]:A numeric with the number of species with trait state 2 on mainland}
#' }
#' @param island_ontogeny A string describing the type of island ontogeny.
#' Can be \code{NULL},
#' \code{"beta"} for a beta function describing area through time,
#' or \code{"linear"} for a linear function
#' @param extcutoff A numeric with the cutoff for extinction rate preventing it from being too
#' large and slowing down simulation. Should be big.
#' @param K A numeric with K (clade-specific carrying capacity)
#' @param island_spec A matrix containing state of system
#' @param mainland_n A numeirc with the total number of species present in the mainland
#' @param t_hor A numeric with the time of horizon for max cladogenesis, immigration and minimum extinction
update_rates <- function(timeval, totaltime,
gam, mu, laa, lac,
Apars = NULL, Epars = NULL,Tpars = NULL,
island_ontogeny = 0,
extcutoff,
K,
island_spec, mainland_n, t_hor = NULL) {
# Function to calculate rates at time = timeval. Returns list with each rate.
testit::assert(is.numeric(timeval))
testit::assert(is.numeric(totaltime))
testit::assert(is.numeric(gam))
testit::assert(is.numeric(mu))
testit::assert(is.numeric(laa))
testit::assert(is.numeric(lac))
testit::assert(is.null(Tpars) || are_trait_state_params(Tpars))
testit::assert(is.null(Apars) || are_area_params(Apars))
testit::assert(is.null(Epars) || is.numeric(Epars))
testit::assert(is.numeric(island_ontogeny))
testit::assert(is.numeric(extcutoff) || is.null(extcutoff))
testit::assert(is.numeric(K))
testit::assert(is.matrix(island_spec) || is.null(island_spec))
testit::assert(is.numeric(mainland_n))
testit::assert(is.numeric(t_hor) || is.null(t_hor))
if (!is.null(Tpars)) {
return(
update_rates_trait(
timeval = timeval,
totaltime = totaltime,
gam = gam, mu = mu, laa = laa, lac = lac,
Apars = Apars,
Epars = Epars,
Tpars = Tpars,
island_ontogeny = island_ontogeny,
extcutoff = extcutoff,
K = K,
island_spec = island_spec,
mainland_n = mainland_n,
t_hor = t_hor
)
)
}
immig_rate <- get_immig_rate(timeval = timeval,
totaltime = totaltime,
gam = gam,
Apars = Apars,
Tpars = Tpars,
island_ontogeny = island_ontogeny,
island_spec = island_spec,
K = K,
mainland_n = mainland_n)
ext_rate <- get_ext_rate(timeval = timeval,
mu = mu,
Tpars = Tpars,
Apars = Apars,
Epars = Epars,
island_ontogeny = island_ontogeny,
extcutoff = extcutoff,
island_spec = island_spec,
K = K)
ana_rate <- get_ana_rate(laa = laa,
Tpars = Tpars,
island_spec = island_spec)
clado_rate <- get_clado_rate(timeval = timeval,
lac = lac,
Apars = Apars,
Tpars = Tpars,
island_ontogeny = island_ontogeny,
island_spec = island_spec,
K = K)
if ((island_ontogeny) == 0) {
immig_rate_max <- immig_rate
ext_rate_max <- ext_rate
clado_rate_max <- clado_rate
testit::assert(is.numeric(immig_rate_max))
testit::assert(is.numeric(ext_rate_max))
testit::assert(is.numeric(clado_rate_max))
} else if ((Apars$proportional_peak_t * Apars$total_island_age) > timeval) {
ext_rate_max <- ext_rate
testit::assert(is.numeric(ext_rate_max))
testit::assert(is.null(Tpars))
immig_rate_max <- get_immig_rate(timeval = Apars$proportional_peak_t * Apars$total_island_age,
totaltime = totaltime,
gam = gam,
mainland_n = mainland_n,
Apars = Apars,
Tpars = Tpars,
island_ontogeny = island_ontogeny,
island_spec = island_spec,
K = K)
testit::assert(is.numeric(immig_rate_max))
clado_rate_max <- get_clado_rate(timeval = Apars$proportional_peak_t * Apars$total_island_age, # SHOULD BE GENERALIZED
lac = lac,
Apars = Apars,
Tpars = Tpars,
island_ontogeny = island_ontogeny,
island_spec = island_spec,
K = K)
testit::assert(is.numeric(clado_rate_max))
} else {
# Ontogeny, max rate is t_hor, which in this case is totaltime (from hor)
ext_rate_max <- get_ext_rate(timeval = t_hor,
mu = mu,
Apars = Apars,
Epars = Epars,
Tpars = Tpars,
island_ontogeny = island_ontogeny,
extcutoff = extcutoff,
island_spec = island_spec,
K = K)
testit::assert(is.numeric(ext_rate_max) && ext_rate_max >= 0.0)
immig_rate_max <- immig_rate
testit::assert(is.numeric(immig_rate_max))
clado_rate_max <- clado_rate
testit::assert(is.numeric(clado_rate_max))
}
rates <- create_rates(
immig_rate = immig_rate,
ext_rate = ext_rate,
ana_rate = ana_rate,
clado_rate = clado_rate,
ext_rate_max = ext_rate_max,
immig_rate_max = immig_rate_max,
clado_rate_max = clado_rate_max,
Tpars = Tpars)
return(rates)
}
update_rates_trait <- function(timeval, totaltime,
gam, mu, laa, lac,
Apars = NULL,
Epars = NULL,
Tpars = NULL,
island_ontogeny = 0,
extcutoff,
K,
island_spec, mainland_n, t_hor = NULL) {
# Function to calculate rates at time = timeval. Returns list with each rate.
testit::assert(is.numeric(timeval))
testit::assert(is.numeric(totaltime))
testit::assert(is.numeric(gam))
testit::assert(is.numeric(mu))
testit::assert(is.numeric(laa))
testit::assert(is.numeric(lac))
testit::assert(is.null(Tpars) || are_trait_state_params(Tpars))
testit::assert(is.null(Apars) || are_area_params(Apars))
testit::assert(is.null(Epars) || is.numeric(Epars))
testit::assert(is.numeric(island_ontogeny))
testit::assert(is.numeric(extcutoff) || is.null(extcutoff))
testit::assert(is.numeric(K))
testit::assert(is.matrix(island_spec) || is.null(island_spec))
testit::assert(is.numeric(mainland_n))
testit::assert(is.numeric(t_hor) || is.null(t_hor))
immig_rate <- get_immig_rate(timeval = timeval,
totaltime = totaltime,
gam = gam,
Apars = Apars,
Tpars = Tpars,
island_ontogeny = island_ontogeny,
island_spec = island_spec,
K = K,
mainland_n = mainland_n)
ext_rate <- get_ext_rate(timeval = timeval,
mu = mu,
Tpars = Tpars,
Apars = Apars,
Epars = Epars,
island_ontogeny = island_ontogeny,
extcutoff = extcutoff,
island_spec = island_spec,
K = K)
ana_rate <- get_ana_rate(laa = laa,
Tpars = Tpars,
island_spec = island_spec)
clado_rate <- get_clado_rate(timeval = timeval,
lac = lac,
Apars = Apars,
Tpars = Tpars,
island_ontogeny = island_ontogeny,
island_spec = island_spec,
K = K)
if ((island_ontogeny) == 0) {
immig_rate_max <- max(unlist(immig_rate))
ext_rate_max <- max(unlist(ext_rate))
clado_rate_max <- max(unlist(clado_rate))
testit::assert(is.numeric(immig_rate_max))
testit::assert(is.numeric(ext_rate_max))
testit::assert(is.numeric(clado_rate_max))
}
### Currently don't consider ontogeny and two trait states simutaneously!
# } else if ((Apars$proportional_peak_t * Apars$total_island_age) > timeval) {
# ext_rate_max <- max(unlist(ext_rate))
# testit::assert(is.numeric(ext_rate_max))
# testit::assert(is.null(Tpars))
# immig_rate_max <- get_immig_rate(timeval = Apars$proportional_peak_t * Apars$total_island_age,
# totaltime = totaltime,
# gam = gam,
# mainland_n = mainland_n,
# Apars = Apars,
# Tpars = Tpars,
# island_ontogeny = island_ontogeny,
# island_spec = island_spec,
# K = K)
# testit::assert(is.numeric(immig_rate_max))
#
# clado_rate_max <- get_clado_rate(timeval = Apars$proportional_peak_t * Apars$total_island_age, # SHOULD BE GENERALIZED
# lac = lac,
# Apars = Apars,
# Tpars = Tpars,
# island_ontogeny = island_ontogeny,
# island_spec = island_spec,
# K = K)
# testit::assert(is.numeric(clado_rate_max))
#
# } else {
# testit::assert(is.null(Tpars))
# # Ontogeny, max rate is t_hor, which in this case is totaltime (from hor)
# ext_rate_max <- get_ext_rate(timeval = t_hor,
# mu = mu,
# Apars = Apars,
# Epars = Epars,
# Tpars = Tpars,
# island_ontogeny = island_ontogeny,
# extcutoff = extcutoff,
# island_spec = island_spec,
# K = K)
#
# testit::assert(is.numeric(ext_rate_max) && ext_rate_max >= 0.0)
# immig_rate_max <- immig_rate
# testit::assert(is.numeric(immig_rate_max))
# clado_rate_max <- clado_rate
# testit::assert(is.numeric(clado_rate_max))
# }
testit::assert(!is.null(Tpars))
trans_rate <- get_trans_rate(Tpars = Tpars,
island_spec = island_spec)
Tpars <- create_trait_state_params(trans_rate = trans_rate$trans_rate1,
immig_rate2 = immig_rate$immig_rate2,
ext_rate2 = ext_rate$ext_rate2,
ana_rate2 = ana_rate$ana_rate2,
clado_rate2 = clado_rate$clado_rate2,
trans_rate2 = trans_rate$trans_rate2,
M2 = Tpars$M2)
immig_rate <- immig_rate$immig_rate1
ana_rate <- ana_rate$ana_rate1
ext_rate <- ext_rate$ext_rate1
clado_rate <- clado_rate$clado_rate1
rates <- create_rates(
immig_rate = immig_rate,
ext_rate = ext_rate,
ana_rate = ana_rate,
clado_rate = clado_rate,
ext_rate_max = ext_rate_max,
immig_rate_max = immig_rate_max,
clado_rate_max = clado_rate_max,
Tpars = Tpars)
return(rates)
}
#' Function to describe changes in area through time. Adapted from
#' Valente et al 2014 ProcB
#' @param timeval current time of simulation
#' @param Apars a named list containing area parameters as created by create_area_params:
#' \itemize{
#' \item{[1]: maximum area}
#' \item{[2]: value from 0 to 1 indicating where in the island's history the
#' peak area is achieved}
#' \item{[3]: sharpness of peak}
#' \item{[4]: total island age}
#' }
#' @param island_ontogeny a string describing the type of island ontogeny. Can be \code{NULL},
#' \code{"beta"} for a beta function describing area through time,
#' or \code{"linear"} for a linear function
#' @export
#' @family rates calculation
#' @author Pedro Neves
#' @references Valente, Luis M., Rampal S. Etienne, and Albert B. Phillimore.
#' "The effects of island ontogeny on species diversity and phylogeny."
#' Proceedings of the Royal Society of London B: Biological Sciences 281.1784 (2014): 20133227.
island_area <- function(timeval, Apars, island_ontogeny) {
testit::assert(are_area_params(Apars))
Tmax <- Apars$total_island_age
Amax <- Apars$max_area
Topt <- Apars$proportional_peak_t
peak <- Apars$peak_sharpness
proptime <- timeval/Tmax
# Constant
if(island_ontogeny == 0)
{
if(Amax != 1 || is.null(Amax))
{
warning('Constant ontogeny requires a maximum area of 1.')
}
return(1)
}
# Linear decline
if (island_ontogeny == 1) {
b <- Amax # intercept (peak area)
m <- -(b / Topt) # slope
At <- m * timeval + b
return(At)
}
# Beta function
if (island_ontogeny == 2) {
f <- Topt / (1 - Topt)
a <- f * peak / (1 + f)
b <- peak / (1 + f)
At <-
Amax * proptime ^ a * (1 - proptime) ^ b / ((a / (a + b)) ^ a * (b / (a + b)) ^ b)
return(At)
}
}
#' Function to describe changes in extinction rate through time. From
#' Valente et al 2014 ProcB
#' @param timeval current time of simulation
#' @param mu per capita extinction rate in no ontogeny model
#' @param Apars a named list containing area parameters as created by create_area_params:
#' \itemize{
#' \item{[1]: maximum area}
#' \item{[2]: value from 0 to 1 indicating where in the island's history the
#' peak area is achieved}
#' \item{[3]: sharpness of peak}
#' \item{[4]: total island age}
#' }
#' @param Epars a numeric vector:
#' \itemize{
#' \item{[1]: minimum extinction when area is at peak}
#' \item{[2]: extinction rate when current area is 0.10 of maximum area}
#' }
#' @param Tpars A named list containing diversification rates considering two trait states:
#' \itemize{
#' \item{[1]:A numeric with the per capita transition rate with state1}
#' \item{[2]:A numeric with the per capita immigration rate with state2}
#' \item{[3]:A numeric with the per capita extinction rate with state2}
#' \item{[4]:A numeric with the per capita anagenesis rate with state2}
#' \item{[5]:A numeric with the per capita cladogenesis rate with state2}
#' \item{[6]:A numeric with the per capita transition rate with state2}
#' \item{[7]:A numeric with the number of species with trait state 2 on mainland}
#' }
#' @param island_ontogeny a string describing the type of island ontogeny.
#' Can be \code{NULL},
#' \code{"beta"} for a beta function describing area through time,
#' or \code{"linear"} for a linear function
#' @param extcutoff cutoff for extinction rate preventing it from being too
#' large and slowing down simulation. Default is 1100
#' @param island_spec matrix containing state of system
#' @param K carrying capacity
#' @export
#' @seealso Does the same as \link{DAISIE_calc_clade_ext_rate}
#' @family rates calculation
#' @references Valente, Luis M., Rampal S. Etienne, and Albert B. Phillimore.
#' "The effects of island ontogeny on species diversity and phylogeny."
#' Proceedings of the Royal Society of London B: Biological Sciences 281.1784 (2014): 20133227.
#' @author Pedro Neves
get_ext_rate <- function(timeval,
mu,
Tpars,
Apars,
Epars,
island_ontogeny,
extcutoff = 1100,
island_spec,
K){
testit::assert(is.numeric(island_ontogeny))
if (is.null(Tpars)){ ##without considering trait states
# Make function accept island_spec matrix or numeric
if (is.matrix(island_spec) || is.null(island_spec)) {
N <- length(island_spec[, 1])
} else if (is.numeric(island_spec)) {
N <- island_spec
}
if (island_ontogeny == 0) {
ext_rate <- mu * N
testit::assert(is.numeric(ext_rate))
testit::assert(ext_rate >= 0)
return(ext_rate)
} else {
X <- log(Epars[1] / Epars[2]) / log(0.1)
ext_rate <-
Epars[1] / ((island_area(timeval, Apars, island_ontogeny) /
Apars$max_area)^X)
ext_rate[which(ext_rate > extcutoff)] <- extcutoff
ext_rate <- ext_rate * N
testit::assert(is.numeric(ext_rate))
testit::assert(ext_rate >= 0)
ext_rate
}
}else{ ##species have two states
if (is.matrix(island_spec) || is.null(island_spec)) {
N1 <- length(which(island_spec[, 8] == "1"))
N2 <- length(which(island_spec[, 8] == "2"))
} else if (is.numeric(island_spec)) {
stop("Different trait states cannot be separated,please transform to matrix form.")
}
ext_rate1 <- mu * N1
ext_rate2 <- Tpars$ext_rate2 * N2
testit::assert(is.numeric(ext_rate1))
testit::assert(is.numeric(ext_rate2))
testit::assert(ext_rate1 >= 0)
testit::assert(ext_rate2 >= 0)
ext_list <- list(ext_rate1 = ext_rate1,
ext_rate2 = ext_rate2)
return(ext_list)
}
}
#' Calculate anagenesis rate
#' @description Internal function.
#' Calculates the anagenesis rate given the current number of
#' immigrant species and the per capita rate.
#' @param laa per capita anagenesis rate
#' @param Tpars A named list containing diversification rates considering two trait states:
#' \itemize{
#' \item{[1]:A numeric with the per capita transition rate with state1}
#' \item{[2]:A numeric with the per capita immigration rate with state2}
#' \item{[3]:A numeric with the per capita extinction rate with state2}
#' \item{[4]:A numeric with the per capita anagenesis rate with state2}
#' \item{[5]:A numeric with the per capita cladogenesis rate with state2}
#' \item{[6]:A numeric with the per capita transition rate with state2}
#' \item{[7]:A numeric with the number of species with trait state 2 on mainland}
#' }
#' @param island_spec matrix with current state of system
#' @seealso Does the same as \link{DAISIE_calc_clade_ana_rate}
#' @family rates calculation
#' @author Pedro Neves
get_ana_rate <- function(laa,
Tpars = NULL,
island_spec) {
if(is.null(Tpars)){
ana_rate = laa * length(which(island_spec[,4] == "I"))
testit::assert(is.numeric(ana_rate))
testit::assert(ana_rate >= 0)
ana_rate
}else{
ana_rate1 = laa * length(intersect(which(island_spec[,4] == "I"), which(island_spec[,8] == "1")))
ana_rate2 = Tpars$ana_rate2 * length(intersect(which(island_spec[,4] == "I"), which(island_spec[,8] == "2")))
testit::assert(is.numeric(ana_rate1))
testit::assert(ana_rate1 >= 0)
testit::assert(is.numeric(ana_rate2))
testit::assert(ana_rate2 >= 0)
ana_list <- list(ana_rate1 = ana_rate1,
ana_rate2 = ana_rate2)
return(ana_list)
}
}
#' Calculate cladogenesis rate
#' @description Internal function.
#' Calculates the cladogenesis rate given the current number of
#' species in the system, the carrying capacity and the per capita cladogenesis
#' rate
#' @param timeval current time of simulation
#' @param lac per capita cladogenesis rate
#' @param Apars a named list containing area parameters as created by create_area_params:
#' \itemize{
#' \item{[1]: maximum area}
#' \item{[2]: value from 0 to 1 indicating where in the island's history the
#' peak area is achieved}
#' \item{[3]: sharpness of peak}
#' \item{[4]: total island age}
#' }
#' @param Tpars A named list containing diversification rates considering two trait states:
#' \itemize{
#' \item{[1]:A numeric with the per capita transition rate with state1}
#' \item{[2]:A numeric with the per capita immigration rate with state2}
#' \item{[3]:A numeric with the per capita extinction rate with state2}
#' \item{[4]:A numeric with the per capita anagenesis rate with state2}
#' \item{[5]:A numeric with the per capita cladogenesis rate with state2}
#' \item{[6]:A numeric with the per capita transition rate with state2}
#' \item{[7]:A numeric with the number of species with trait state 2 on mainland}
#' }
#' @param island_ontogeny a string describing the type of island ontogeny.
#' Can be \code{NULL},
#' \code{"beta"} for a beta function describing area through time,
#' or \code{"linear"} for a linear function
#' @param island_spec matrix with current state of system
#' @param K carrying capacity
#' @export
#' @seealso Does the same as \link{DAISIE_calc_clade_clado_rate}
#' @author Pedro Neves
#' @references Valente, Luis M., Rampal S. Etienne, and Albert B. Phillimore.
#' "The effects of island ontogeny on species diversity and phylogeny."
#' Proceedings of the Royal Society of London B: Biological Sciences 281.1784 (2014): 20133227.
get_clado_rate <- function(timeval,
lac,
Tpars = NULL,
Apars,
island_ontogeny,
island_spec,
K) {
if(is.null(Tpars)) {
# Make function accept island_spec matrix or numeric
if (is.matrix(island_spec) || is.null(island_spec)) {
N <- length(island_spec[,1])
} else if (is.numeric(island_spec)) {
N <- island_spec
}
# No ontogeny scenario
testit::assert(is.numeric(island_ontogeny))
if (island_ontogeny == 0) {
clado_rate <- max(c(N * lac * (1 - N / K), 0), na.rm = T)
testit::assert(clado_rate >= 0)
testit::assert(is.numeric(clado_rate))
return(clado_rate)
# Ontogeny scenario
} else {
clado_rate <- max(c(
N * lac * island_area(timeval, Apars, island_ontogeny) *
(1 - N / (island_area(
timeval,
Apars,
island_ontogeny) * K)), 0), na.rm = T)
testit::assert(clado_rate >= 0)
testit::assert(is.numeric(clado_rate))
return(clado_rate)
}
}else{
# Shu's work
if (is.matrix(island_spec) || is.null(island_spec)) {
N1 <- length(which(island_spec[, 8] == "1"))
N2 <- length(which(island_spec[, 8] == "2"))
} else if (is.numeric(island_spec)) {
stop("Different trait states cannot be separated,please transform to matrix form.")
}
clado_rate1 <- max(c(N1 * lac * (1 - (N1 + N2) / K), 0), na.rm = T)
clado_rate2 <- max(c(N2 * Tpars$clado_rate2 * (1 - (N1 + N2) / K), 0), na.rm = T)
testit::assert(clado_rate1 >= 0)
testit::assert(clado_rate2 >= 0)
testit::assert(is.numeric(clado_rate1))
testit::assert(is.numeric(clado_rate2))
clado_list <- list(clado_rate1 = clado_rate1,
clado_rate2 = clado_rate2)
return(clado_list)
}
}
#' Calculate immigration rate
#' @description Internal function.
#' Calculates the immigration rate given the current number of
#' species in the system, the carrying capacity
#' @param timeval current time of simulation
#' @param totaltime total time of simulation
#' @param gam per capita immigration rate
#' @param Apars a named list containing area parameters as created by create_area_params:
#' \itemize{
#' \item{[1]: maximum area}
#' \item{[2]: value from 0 to 1 indicating where in the island's history the
#' peak area is achieved}
#' \item{[3]: sharpness of peak}
#' \item{[4]: total island age}
#' }
#' @param Tpars A named list containing diversification rates considering two trait states:
#' \itemize{
#' \item{[1]:A numeric with the per capita transition rate with state1}
#' \item{[2]:A numeric with the per capita immigration rate with state2}
#' \item{[3]:A numeric with the per capita extinction rate with state2}
#' \item{[4]:A numeric with the per capita anagenesis rate with state2}
#' \item{[5]:A numeric with the per capita cladogenesis rate with state2}
#' \item{[6]:A numeric with the per capita transition rate with state2}
#' \item{[7]:A numeric with the number of species with trait state 2 on mainland}
#' }
#' @param island_ontogeny a string describing the type of island ontogeny.
#' Can be \code{NULL},
#' \code{"beta"} for a beta function describing area through time,
#' or \code{"linear"} for a linear function
#' @param island_spec matrix with current state of system
#' @param K carrying capacity
#' @param mainland_n total number of species present in the mainland
#' @seealso Does the same as \link{DAISIE_calc_clade_imm_rate}
#' @family rates calculation
#' @author Pedro Neves
#' @references Valente, Luis M., Rampal S. Etienne, and Albert B. Phillimore.
#' "The effects of island ontogeny on species diversity and phylogeny."
#' Proceedings of the Royal Society of London B: Biological Sciences 281.1784 (2014): 20133227.
get_immig_rate <- function(timeval,
totaltime,
gam,
Apars,
Tpars = NULL,
island_ontogeny,
island_spec,
K,
mainland_n) {
N <- length(island_spec[, 1])
testit::assert(is.numeric(island_ontogeny))
if(is.null(Tpars)){
if (island_ontogeny == 0) {
immig_rate <- max(
c(mainland_n * gam * (1 - length(island_spec[, 1]) / K), 0),
na.rm = T
)
testit::assert(is.numeric(immig_rate))
testit::assert(immig_rate >= 0)
return(immig_rate)
} else {
immig_rate <- max(c(mainland_n * gam * (1 - length(island_spec[, 1]) / ( ##Trai-DAISIE need to calculate ntotal
island_area(timeval,
Apars,
island_ontogeny) * K)), 0), na.rm = T)
}
testit::assert(is.numeric(immig_rate))
testit::assert(immig_rate >= 0)
immig_rate
}else{
if (is.matrix(island_spec) || is.null(island_spec)) {
N1 <- length(which(island_spec[, 8] == "1"))
N2 <- length(which(island_spec[, 8] == "2"))
} else if (is.numeric(island_spec)) {
stop("Different trait states cannot be separated,please transform to matrix form.")
}
mainland_n2 <- Tpars$M2
gam2 <- Tpars$immig_rate2
immig_rate1 <- max(
c(mainland_n * gam * (1 - (N1 + N2) / K), 0),
na.rm = T
)
immig_rate2 <- max(
c(mainland_n2 * gam2 * (1 - (N1 + N2) / K), 0),
na.rm = T
)
testit::assert(is.numeric(immig_rate1))
testit::assert(immig_rate1 >= 0)
testit::assert(is.numeric(immig_rate2))
testit::assert(immig_rate2 >= 0)
immig_list <- list(immig_rate1 = immig_rate1,
immig_rate2 = immig_rate2)
return(immig_list)
}
}
#' Calculate transition rate
#' @description Internal function.
#' Calculates the transition rate given the current number of
#' immigrant species and the per capita rate.
#' @param Tpars A named list containing diversification rates considering two trait states:
#' \itemize{
#' \item{[1]:A numeric with the per capita transition rate with state1}
#' \item{[2]:A numeric with the per capita immigration rate with state2}
#' \item{[3]:A numeric with the per capita extinction rate with state2}
#' \item{[4]:A numeric with the per capita anagenesis rate with state2}
#' \item{[5]:A numeric with the per capita cladogenesis rate with state2}
#' \item{[6]:A numeric with the per capita transition rate with state2}
#' \item{[7]:A numeric with the number of species with trait state 2 on mainland}
#' }
#' @param island_spec matrix with current state of system
#' @family rates calculation
get_trans_rate <- function(Tpars,
island_spec){
if(is.null(Tpars)){
stop("Transition rate only calculate when exists more than one trait state.") #or trans_rate = NULL
}else{
# Make function accept island_spec matrix or numeric
if (is.matrix(island_spec) || is.null(island_spec)) {
N1 <- length(which(island_spec[, 8] == "1"))
N2 <- length(which(island_spec[, 8] == "2"))
} else if (is.numeric(island_spec)) {
stop("Different trait states cannot be separated,please transform to matrix form.")
}
trans_rate1 <- Tpars$trans_rate * N1
trans_rate2 <- Tpars$trans_rate2 * N2
testit::assert(is.numeric(trans_rate1))
testit::assert(trans_rate1 >= 0)
testit::assert(is.numeric(trans_rate2))
testit::assert(trans_rate2 >= 0)
trans_list <- list(trans_rate1 = trans_rate1,
trans_rate2 = trans_rate2)
return(trans_list)
}
}
#' Function to calculate and update horizon for maximum extinction rate
#' @description Internal function.
#' Calculates when the next horizon for maximum extinction will be in the
#' simulation
#' @param timeval current time of simulation
#' @param totaltime total time of simulation
#' @param Apars a named list containing area parameters as created by create_area_params:
#' \itemize{
#' \item{[1]: maximum area}
#' \item{[2]: value from 0 to 1 indicating where in the island's history the
#' peak area is achieved}
#' \item{[3]: sharpness of peak}
#' \item{[4]: total island age}
#' }
#' @param Tpars A named list containing diversification rates considering two trait states:
#' \itemize{
#' \item{[1]:A numeric with the per capita transition rate with state1}
#' \item{[2]:A numeric with the per capita immigration rate with state2}
#' \item{[3]:A numeric with the per capita extinction rate with state2}
#' \item{[4]:A numeric with the per capita anagenesis rate with state2}
#' \item{[5]:A numeric with the per capita cladogenesis rate with state2}
#' \item{[6]:A numeric with the per capita transition rate with state2}
#' \item{[7]:A numeric with the number of species with trait state 2 on mainland}
#' }
#' @param ext_multiplier reduces or increases distance of horizon to current
#' simulation time
#' @param island_ontogeny a string describing the type of island ontogeny.
#' Can be \code{NULL}, \code{"beta"} for a beta function
#' describing area through time, or \code{"linear"} for a linear function
#' @param ext effective extinction rate at timeval
#' @param t_hor time of horizon for max extinction
#'
#' @family rates calculation
#' @author Pedro Neves
get_t_hor <- function(timeval,
totaltime,
Tpars,
Apars,
ext,
ext_multiplier,
island_ontogeny,
t_hor) {
################~~~TODO~~~#####################
# Use optimize (optimize(island_area, interval = c(0, 10), maximum = TRUE, Apars = create_area_params(1000, 0.1, 1, 17), island_ontogeny = "beta"))
# to select maximum point to identify maximum of function
###############################################
testit::assert(is.null(Apars) || are_area_params(Apars))
# Function calculates where the horizon for max(ext_rate) is.
if (island_ontogeny == 0) {
testit::assert(totaltime > 0.0)
t_hor <- totaltime
} else if(!is.null(Tpars)){
testit::assert(totaltime > 0.0)
t_hor <- totaltime
}else{
if (is.null(t_hor)) {
testit::assert(are_area_params(Apars))
# This is the time at which Amax is reached
t_hor <- Apars$proportional_peak_t * Apars$total_island_age
} else if (timeval >= t_hor) {
# t_hor should dynamically be adjusted depending on parameter values.
# Certain parameter combinations will always make it be > totaltime at
# first calculation, slowing down the simulations
t_hor <- t_hor + t_hor / 6 + ext_multiplier * (totaltime - timeval) * ext
t_hor <- min(totaltime, t_hor)
}
testit::assert(t_hor > 0.0)
}
return(t_hor)
}
#' Calculates when the next timestep will be.
#'
#' @param rates list of numeric with probabilities of each event
#' @param timeval current time of simulation
#' @param Tpars A named list containing diversification rates considering two trait states:
#' \itemize{
#' \item{[1]:A numeric with the per capita transition rate with state1}
#' \item{[2]:A numeric with the per capita immigration rate with state2}
#' \item{[3]:A numeric with the per capita extinction rate with state2}
#' \item{[4]:A numeric with the per capita anagenesis rate with state2}
#' \item{[5]:A numeric with the per capita cladogenesis rate with state2}
#' \item{[6]:A numeric with the per capita transition rate with state2}
#' \item{[7]:A numeric with the number of species with trait state 2 on mainland}
#' }
#' @return named list with numeric vector containing the time of the next
#' timestep and the change in time.
#' @author Pedro Neves
calc_next_timeval <- function(rates = rates,
timeval = timeval,
Tpars = Tpars) {
# Calculates when next event will happen
testit::assert(are_rates(rates))
testit::assert(timeval >= 0)
if(is.null(Tpars)){
totalrate <- rates$immig_rate_max +
rates$ana_rate +
rates$clado_rate_max +
rates$ext_rate_max
}else{
totalrate <- rates$immig_rate +
rates$ana_rate +
rates$clado_rate +
rates$ext_rate +
rates$trans_rate +
rates$immig_rate2 +
rates$ana_rate2 +
rates$clado_rate2 +
rates$ext_rate2 +
rates$trans_rate2
}
dt <- stats::rexp(1, totalrate)
timeval <- timeval + dt
return(list(timeval = timeval, dt = dt))
}
#' Calculate the clade-wide extinction rate
#' @param ps_ext_rate per species extinction rate
#' @param n_species number of species in that clade
#' @return the clade's extinction rate
#' @author Richel J.C. Bilderbeek
#' @examples
#' testit::assert(
#' DAISIE_calc_clade_ext_rate(
#' ps_ext_rate = 0.2,
#' n_species = 4
#' ) == 0.8
#' )
#' @export
DAISIE_calc_clade_ext_rate <- function(ps_ext_rate, n_species) {
testit::assert(ps_ext_rate >= 0.0)
testit::assert(n_species >= 0)
ps_ext_rate * n_species
}
#' Calculate the clade-wide effective anagenesis rate.
#' With 'effective', this means that if an immigrant
#' undergoes anagenesis, it will become a new species.
#' Would such a species undergo anagenesis again, no net new
#' species is created; the species only gets renamed
#' @param ps_ana_rate per species anagensis rate
#' @param n_immigrants number of immigrants in that clade
#' @return the clade's effective anagenesis rate
#' @author Richel J.C. Bilderbeek
#' @examples
#' testit::assert(
#' DAISIE_calc_clade_ana_rate(
#' ps_ana_rate = 0.3,
#' n_immigrants = 5
#' ) == 1.5
#' )
#' @export
DAISIE_calc_clade_ana_rate <- function(ps_ana_rate, n_immigrants) {
testit::assert(ps_ana_rate >= 0.0)
testit::assert(n_immigrants >= 0)
ps_ana_rate * n_immigrants
}
#' Calculate the clade-wide cladogenesis rate.
#' @param ps_clado_rate per species cladogenesis rate
#' @param n_species number of species in that clade
#' @param carr_cap carrying capacity, number of species this clade will
#' grow to
#' @return the clade's cladogenesis rate, which is at least zero. This
#' rate will be zero if there are more species than the carrying capacity
#' allows for
#' @note For clade-specific carrying capacity,
#' each clade is simulated seperately in \code{\link{DAISIE_sim}}
#' @author Richel J.C. Bilderbeek
#' @examples
#' testit::assert(
#' DAISIE_calc_clade_clado_rate(
#' ps_clado_rate = 0.2,
#' n_species = 5,
#' carr_cap = 10
#' ) == 0.5
#' )
#' testit::assert(
#' DAISIE_calc_clade_clado_rate(
#' ps_clado_rate = 0.2,
#' n_species = 2,
#' carr_cap = 1
#' ) == 0.0
#' )
#' @export
DAISIE_calc_clade_clado_rate <- function(ps_clado_rate, n_species, carr_cap) {
testit::assert(ps_clado_rate >= 0.0)
testit::assert(n_species >= 0)
testit::assert(carr_cap >= 0)
return(max(
0.0,
n_species * ps_clado_rate * (1.0 - (n_species / carr_cap))
))
}
#' Calculate the clade-wide immigration rate.
#' @param ps_imm_rate per species immigration rate
#' @param n_island_species number of species in that clade on the island
#' @param n_mainland_species number of species in that clade on the mainland
#' @param carr_cap carrying capacity, number of species this clade will
#' grow to
#' @return the clade's immigration rate, which is at least zero. This
#' rate will be zero if there are more species than the carrying capacity
#' allows for
#' @author Richel J.C. Bilderbeek
#' @examples
#' testit::assert(
#' DAISIE_calc_clade_imm_rate(
#' ps_imm_rate = 0.1,
#' n_island_species = 5,
#' n_mainland_species = 2,
#' carr_cap = 10
#' ) == 0.1
#' )
#' testit::assert(
#' DAISIE_calc_clade_imm_rate(
#' ps_imm_rate = 0.1,
#' n_island_species = 5,
#' n_mainland_species = 2,
#' carr_cap = 1
#' ) == 0.0
#' )
#' @export
DAISIE_calc_clade_imm_rate <- function(
ps_imm_rate,
n_island_species,
n_mainland_species,
carr_cap
) {
testit::assert(ps_imm_rate >= 0.0)
testit::assert(n_island_species >= 0)
testit::assert(n_mainland_species >= 0)
testit::assert(carr_cap >= 0)
return(max(
0.0,
n_mainland_species * ps_imm_rate * (1.0 - (n_island_species / carr_cap))
))
}
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