bsm_DES | R Documentation |
This function performs a stochastically simulates the biogeographic history of taxa
bsm_DES(
DesIn,
NumBsm = 1,
MaxAttempts = 1000,
Step,
SimD,
SimE,
Qtimes = NULL,
VarD = NULL,
VarE = NULL,
Covariate = NULL,
DivD = NULL,
DivE = NULL,
DdE = NULL,
Cor = "exponential",
DataInArea = NULL,
TraitD = NULL,
VarTraitD = NULL,
TraitE = NULL,
VarTraitE = NULL,
Verbose = FALSE
)
DesIn |
Input file as for a PyRateDES2 analysis |
NumBsm |
Number of biogeographic stochastic maps |
MaxAttempts |
Maximum number of attempts to stochastically simulate the biogeographic history of a single taxon |
Step |
Time steps for the simulation |
SimD |
Dispersal rates |
SimE |
Extinction rates |
Qtimes |
Shift times in dispersal, extinction, and sampling |
VarD |
Strengths of covariate dependent dispersal and in case of logistic correlation the midpoints |
VarE |
Strengths of covariate dependent extinction and in case of logistic correlation the midpoints |
Covariate |
data.frame with the covariate for e.g. environmental dependent dispersal or extinction |
DivD |
Strengths of diversity dependent dispersal |
DivE |
Strengths of diversity dependent extinction |
DdE |
Strengths of dispersal dependent extinction |
Cor |
Correlation with environment or diversity |
DataInArea |
Simulate dynamic in that area |
TraitD |
Data.frame or matrix of a trait influencing dispersal (first column taxon index and second the trait). Either a continuous trait or a binary trait codes as 1 and exp(1) (internal log transformation) |
VarTraitD |
Strengths of trait dependent dispersal |
TraitE |
Continuous influencing extinction (first column taxon index and second the trait). See TraitD for details |
VarTraitE |
Strengths of trait dependent extinction |
Verbose |
Should progress be printed? |
A list with stochastically mapped biogeographic histories
Torsten Hauffe
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