SimSunderData: Simulation of data

In Sunder: Quantification of the effect of geographic versus environmental isolation on genetic differentiation

Description

Simulate data under the model assumed by the MCMC inference program

Usage

SimSunderData(mod, theta, nsite, nloc, hap.pop.size, nalM, nalm, var.par, scale.par)

Arguments

mod	A character string equal to "G+E", "G" or "E"
theta	A vector of length 5 containing values for (alpha,beta_G,beta_E,gamma,delta)
nsite	Number of geographical locations
nloc	Number of loci
hap.pop.size	Haploid population size at each combination geographical location x locus. In the main inference function of the package (SunderInference), this number can vary across combinations of geographical locations and loci. Currently the present simulation function accepts only a single number as input.
nalM	Maximum number of alleles over the various loci
nalm	Minimum number of alleles over the various loci
var.par	Variance of the random field model for the environmental variable
scale.par	Scale parameter in the exponential covariance of the random field model for the environmental variable

Value

A list containing genotypes, geographical distance, environmental distances, model and parameters.

Author(s)

Filippo Botta

Examples

data(toydata,package='Sunder')

Example output

Loading required package: mnormt

Sunder documentation built on May 2, 2019, 2:17 p.m.