Nothing
################################################################################
#
# MGDrivE2: SPN structure for a metapopulation network (SEI-SIS epi)
# Marshall Lab
# Sean L. Wu (slwu89@berkeley.edu)
# November 2019
#
################################################################################
################################################################################
# stitch together places {P} for the metapop
################################################################################
#' Make Places (P) For a Network (SEI Mosquitoes - SIS Humans)
#'
#' This function makes the set of places (P) for a SPN model of a metapopulation
#' network for simulation of coupled SEI-SIS dynamics. It is the network version
#' of \code{\link{spn_P_epiSIS_node}}.
#'
#' The \code{params} argument supplies all of the ecological parameters necessary
#' to calculate equilibrium values. This function requires the \code{nE},
#' \code{nL}, \code{nP}, and \code{nEIP} parameters to be specified. For more details, see
#' \code{\link{equilibrium_SEI_SIS}}
#'
#' For examples of using this function, see:
#' \code{vignette("epi-network", package = "MGDrivE2")}
#'
#' @param node_list a character vector specifying what type of nodes to create;
#' (m = a node_id with only mosquitoes, h = a node_id with only humans, b = a node_id with both humans and mosquitoes)
#' @param params a named list of parameters (see details)
#' @param cube an inheritance cube from the \code{MGDrivE} package (e.g. \code{\link[MGDrivE]{cubeMendelian}})
#'
#' @return a list with two elements: \code{ix} contains labeled indices of the
#' places by life stage and node_id, \code{u} is the character vector of places (P)
#'
#' @export
spn_P_epiSIS_network <- function(node_list,params,cube){
# checks
nE <- params$nE
nL <- params$nL
nP <- params$nP
nEIP <- params$nEIP
stopifnot(node_list %in% c("b","m","h"))
if(nE < 2 || nL < 2 || nP < 2 || nEIP < 2){
warning(paste0("A shape parameter ('nE', 'nL', 'nP', 'nEIP') of 1 implies ",
"exponentially distributed dwell times in that compartment."))
}
# genetic information
nG <- cube$genotypesN
g <- cube$genotypesID
# within node_id places
P_meta <- vector(mode = "list",length = length(node_list))
P_offset <- 0
# loop through all nodes
for(id in 1:length(node_list)){
if(node_list[id] == "m"){
P_meta[[id]] <- spn_P_mosy_epi(nE = nE,nL = nL,nP = nP,nEIP = nEIP,
nG = nG, g = g, node_id = id,
P_offset = P_offset)
} else if(node_list[id] == "h"){
P_meta[[id]] <- spn_P_humans_epiSIS(node_id = id,P_offset = P_offset)
} else if(node_list[id] == "b"){
P_meta[[id]] <- spn_P_both_epiSIS(nE = nE,nL = nL,nP = nP,nEIP = nEIP,
nG = nG, g = g, node_id = id,
P_offset = P_offset)
} else {
stop("warning: unrecognized character in 'node_list' object")
}
} # end node_id loop
# return the stitched-together set of places P
# pull out the indexing (ix), store as one-depth list "ix"
# pull out places (u), store as vector "u"
return(list("ix" = lapply(X = P_meta, FUN = '[[', 'ix'),
"u" = unlist(lapply(X = P_meta, FUN = '[[', 'u')) )
)
}
################################################################################
# NOTE: the below functions are not exported from the package for users
# as the package provides support only to generate Petri Nets by
# returning complete sets (P,T); if the below functions were exported
# it would be possible for a user to return an incomplete set of places (P)
# or transitions (T)
################################################################################
################################################################################
# make the places (P) of the SPN: mosquito
################################################################################
# node_id with only mosquitoes
spn_P_mosy_epi <- function(nE,nL,nP,nEIP,nG,g,node_id,P_offset){
# setup place names
eggs <- file.path("E",1:nE,"_",rep(g, each = nE),"_",node_id, fsep = "")
larvae <- file.path("L",1:nL,"_",rep(g, each = nL),"_",node_id, fsep = "")
pupae <- file.path("P",1:nP,"_",rep(g, each = nP),"_",node_id, fsep = "")
females_unmated = file.path("U_",g,"_",node_id, fsep = "")
stages <- c("S",paste0("E",1:nEIP),"I")
females <- file.path("F", rep(x = rep(x = g, each = nG), times = nEIP+2),
rep(x = g, times = nG*(nEIP+2)),
rep(x = stages, each = nG^2), node_id, fsep = "_")
males <- file.path("M",g,node_id,fsep = "_")
# indices of states
ix <- list()
ix$egg <- matrix(data = seq_along(eggs) + P_offset,nrow = nE,byrow = FALSE,dimnames = list(1:nE,g))
ix$larvae <- matrix(data = seq_along(larvae) + nG*nE + P_offset,nrow = nL,byrow = FALSE,dimnames = list(1:nL,g))
ix$pupae <- matrix(data = seq_along(pupae) + nG*(nE + nL) + P_offset,nrow = nP,byrow = FALSE,dimnames = list(1:nP,g))
ix$females_unmated <- setNames(object = seq_along(females_unmated) + nG*(nE + nL + nP) + P_offset, nm = g)
# For the females, we have to permute because the array function doesn't have
# something like "byrow" for matrices. This makes sure the "rows" are the female
# genotype, cols are male mate, and z-axis is stage of incubation.
# "resize=TRUE" is a cheat to keep dim names, doesn't cause issues in this instance
ix$females <- aperm(a = array(data = seq_along(females) + nG*(nE + nL + nP + 1) + P_offset,dim = c(nG,nG,nEIP+2),
dimnames = list(g,g,stages)),
perm = c(2,1,3),resize = TRUE)
ix$males <- setNames(object = seq_along(males) + nG*(nE+nL+nP+nG*(nEIP+2) + 1) + P_offset, nm = g)
# places (u)
u <- c(eggs,larvae,pupae,females_unmated,females,males)
# set P_offset in parent environment
# ie, update the counter
assign(x = "P_offset", value = P_offset + nG*(nE+nL+nP+nG*(nEIP+2)+2), pos = parent.frame())
return(list("ix" = ix,
"u" = u) )
}
################################################################################
# make the places (P) of the SPN: humans
################################################################################
# node_id with only humans
spn_P_humans_epiSIS <- function(node_id,P_offset){
# human names
hNames <- paste0(c("H_S","H_I"),"_",node_id)
# indices of states
ix <- list("humans" = setNames(object = c(1,2) + P_offset, nm = hNames))
# places (u)
u <- hNames
# set P_offset in parent environment
# ie, update the counter
assign(x = "P_offset", value = P_offset + 2, pos = parent.frame())
return(list("ix" = ix,
"u" = u) )
}
################################################################################
# make the places (P) of the SPN: mosquitoes and humans
################################################################################
spn_P_both_epiSIS <- function(nE,nL,nP,nEIP,nG,g,node_id,P_offset){
# mosquitoes
mList <- spn_P_mosy_epi(nE = nE,nL = nL,nP = nP,nEIP = nEIP,
nG = nG, g = g, node_id = node_id,
P_offset = P_offset)
# humans
hList <- spn_P_humans_epiSIS(node_id = node_id,P_offset = P_offset)
# set P_offset in parent environment
# ie, update the counter
assign(x = "P_offset", value = P_offset, pos = parent.frame())
return(list("ix"=c(mList$ix,hList$ix),
"u"=c(mList$u,hList$u)) )
}
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