sample.bayesFst: Sample from the posterior distribution of Fst

In jmcurran/rbayesfst: Bayesian Estimation of Fst

Sample from the posterior distribution of Fst

Description

Sample from the posterior distribution of Fst

Usage

## S3 method for class 'bayesFst'
sample(x, size = NULL, seed = floor(runif(1, 0, 2^32) + 1), ...)

Arguments

x	an object class bayesFst
size	the desired numbers of samples to be taken from the posterior distribution of the parameters
seed	a positive (32 bit) integer to be used as a random number seed in a Mersenne-Twister random number generator. This package uses the C++ 'random' library.
...	not used

Value

a list

Note

If you want to change some of the parameters for the MCMC algorithm, other than the number of outputs, then use the specific methods to do this. They cannot be changed here.

See Also

setInteraction, setPriors, setRunParams

jmcurran/rbayesfst documentation built on June 4, 2022, 9:57 a.m.