DAISIE_sim_cr_cs {DAISIE} | R Documentation |
Simulates island replicates with an clade-specific (CS) diversity-dependent constant-rate process
Description
Simulates island replicates with an clade-specific (CS) diversity-dependent constant-rate process
Usage
DAISIE_sim_cr_cs(
total_time,
M,
pars,
replicates,
nonoceanic_pars,
prop_type2_pool,
replicates_apply_type2,
sample_freq,
hyper_pars,
area_pars,
cond,
verbose
)
Arguments
total_time |
Numeric defining the length of the simulation in time units. |
M |
Numeric defining the size of mainland pool, i.e. the number of species that can potentially colonize the island. |
pars |
A numeric vector containing the model parameters:
Elements 6:10 are required only when type 2 species are included
or in the rate shift model. For |
replicates |
Integer specifying number of island replicates to be simulated. |
nonoceanic_pars |
A vector of length two with:
|
prop_type2_pool |
Fraction of mainland species that belongs to the
second subset of species (type 2). Applies only when two types of species
are simulated (length(pars) = 10). For |
replicates_apply_type2 |
Applies only when two types of species are
being simulated. Default replicates_apply_type2 = TRUE runs simulations
until the number of islands where a type 2 species has colonised is equal
to the specified number of replicates. This is recommended if
|
sample_freq |
Numeric specifing the number of units times should be divided by for plotting purposes. Larger values will lead to plots with higher resolution, but will also run slower. |
hyper_pars |
A named list of numeric hyperparameters for the rate
calculations as returned by
|
area_pars |
A named list containing area and sea level parameters as
created by
|
cond |
cond = 0 : conditioning on island age |
verbose |
A numeric vector of length 1, which in simulations and 'DAISIEdataprep()' can be '1' or '0', where '1' gives intermediate output should be printed. For ML functions a numeric determining if intermediate output should be printed. The default: '0' does not print, '1' prints the initial likelihood and the settings that were selected (which parameters are to be optimised, fixed or shifted), '2' prints the same as '1 and also the intermediate output of the parameters and loglikelihood, while '3' the same as '2' and prints intermediate progress during likelihood computation. |
Value
A list. The highest level of the least corresponds to each individual replicate. See return for 'DAISIE_sim_cr()' for details.