dd_MS_loglik | R Documentation |
Loglikelihood for macro-evolutionary succession under diversity-dependent
diversification with the key innovation at time t = t_d
Description
This function computes the loglikelihood of a diversity-dependent
diversification model for a given set of branching times and parameter
values where the diversity-dependent dynamics of an innovative subclade have
different parameters from the dynamics of the main clade from time t_d, but
both are governed by the same carrying capacity and experience each other's
diversity.
Usage
dd_MS_loglik(
pars1,
pars2,
brtsM,
brtsS,
missnumspec,
methode = "odeint::runge_kutta_cash_karp54"
)
Arguments
pars1 |
Vector of parameters:
pars1[1] corresponds to lambda_M (speciation rate) of the main clade
pars1[2] corresponds to mu_M (extinction rate) of the main clade
pars1[3] corresponds to K_M (clade-level carrying capacity) of
the main clade
pars1[4] corresponds to lambda_M (speciation rate) of the subclade
pars1[5] corresponds to mu_S (extinction rate) of the subclade
pars1[6] corresponds to t_d (the time of the key innovation)
|
pars2 |
Vector of model settings:
pars2[1] sets the
maximum number of species for which a probability must be computed. This
must be larger than 1 + missnumspec + length(brts).
pars2[2] sets the model of diversity-dependence:
- pars2[2] == 1 linear dependence in speciation rate with parameter K
(= diversity where speciation = extinction)
- pars2[2] == 1.3 linear dependence in speciation rate with parameter
K' (= diversity where speciation = 0)
- pars2[2] == 2 exponential dependence in speciation rate with
parameter K (= diversity where speciation = extinction)
- pars2[2] == 2.1 variant of exponential dependence in speciation rate with offset at
infinity
- pars2[2] == 2.2 1/n dependence in speciation rate
- pars2[2] == 2.3 exponential dependence in speciation rate with
parameter x (= exponent)
- pars2[2] == 3 linear dependence in extinction rate
- pars2[2] == 4 exponential dependence in extinction rate
- pars2[2] == 4.1 variant of exponential dependence in extinction rate
with offset at infinity
- pars2[2] == 4.2 1/n dependence in extinction rate
pars2[3] sets the conditioning:
- pars2[3] == 0 no conditioning
- pars2[3] == 1 conditioning on non-extinction of the phylogeny
pars2[4] sets the time of splitting of the branch that will undergo
the key innovation leading to different parameters
pars2[5] sets whether the parameters and likelihood should be shown on
screen (1) or not (0)
pars2[6] sets whether the first data point is stem age (1) or crown
age (2)
pars2[7] sets whether the old (incorrect) likelihood should be used (0)
or whether new corrected version should be used (1)
|
brtsM |
A set of branching times of the main clade in the phylogeny,
all positive
|
brtsS |
A set of branching times of the subclade in the phylogeny, all
positive
|
missnumspec |
The number of species that are in the clade but missing
in the phylogeny. One can specify the sum of the missing species in main
clade and subclade or a vector c(missnumspec_M,missnumspec_S) with missing
species in main clade and subclade respectively.
|
methode |
The method used to solve the master equation, default is
'analytical' which uses matrix exponentiation; alternatively numerical ODE
solvers can be used, such as 'odeint::runge_kutta_cash_karp54'. These were used in the
package before version 3.1.
|
Value
The loglikelihood
Author(s)
Rampal S. Etienne & Bart Haegeman
References
- Etienne, R.S. et al. 2012, Proc. Roy. Soc. B 279: 1300-1309,
doi: 10.1098/rspb.2011.1439
- Etienne, R.S. & B. Haegeman 2012. Am. Nat.
180: E75-E89, doi: 10.1086/667574
See Also
dd_MS_ML
, dd_loglik
,
dd_KI_loglik
, dd_SR_loglik
Examples
pars1 = c(0.2,0.1,40,1.0,0.1,9.8)
pars2 = c(200,1,0,18.8,1,2)
missnumspec = 0
brtsM = c(25.2,24.6,24.0,22.5,21.7,20.4,19.9,19.7,18.8,17.1,15.8,11.8,9.7,8.9,5.7,5.2)
brtsS = c(9.6,8.6,7.4,4.9,2.5)
dd_MS_loglik(pars1,pars2,brtsM,brtsS,missnumspec)