generate.prior: Generate Prior Values for the Parameters theta and M

In infeR: A pedagogical tool to teach the basics of inference in population genetics

Description

Generate a set of prior values for the parameters theta and M

Usage

  generate.prior(number.of.simulations,prior.theta,min.theta,max.theta,prior.M, min.M, max.M)

Arguments

number.of.simulations	total number of simulations
prior.theta	a character string indicating the prior distribution for theta. Possible values are "UNI" (uniform prior) and"LOG" (log-unifomr prior)
min.theta	Minimum value for theta
max.theta	Maximum value for theta
prior.M	a character string indicating the prior distribution for M. Possible values are "UNI" (uniform prior) and"LOG" (log-unifomr prior)
min.M	Minimum value for M
max.M	Maximum value for M

Details

Generate a set of prior values for the parameters theta and M, which will be used by the coalescent-based simulator to simulate artificial data.

Value

a matrix of prior values.

Examples

## This is to generate a prior distribution of the model parameters.

prior <- generate.prior(number.of.simulations = 1e3,prior.theta = 'UNI',min.theta = 0.1, max.theta = 5,prior.M = 'UNI',min.M = 0.1,max.M = 5)

prior

infeR documentation built on May 2, 2019, 4:45 p.m.