simulate.diallel: Simulate diallel data from the BayesDiallel model

In gkeele/DIDACT: Diallel Informed Decision theoretic Approach for Crosses Tool (DIDACT)

Description

This function generates data from the BayesDiallel model. It does not currently allow for sex interactions with strain-level effects, as is possible in the proper BayesDiallel package.

Usage

## S3 method for class 'diallel'
simulate(M = 8, mu = 10, inbred.mu = -5,
  female.mu = -2, add.size, inbred.size, epi.sym.size, epi.asym.size,
  maternal.size = 0, add.effect = NULL, inbred.effect = NULL,
  epi.sym.effect = NULL, epi.asym.effect = NULL,
  maternal.effect = NULL, n.each = 5, num.sim = 1,
  strains = LETTERS[1:M])

Arguments

M	DEFAULT: 8. The number of strains in the diallel cross. Default of 8 is the number of founders in the Collaborative Cross.
mu	DEFAULT: 10. The grand mean of the phenotype.
inbred.mu	DEFAULT: -5. The overall inbred effect.
female.mu	DEFAULT: -2. The overall female effect (male is reference).
add.size	The proportion of the variance explained by the additive effects.
inbred.size	The proportion of the variance explained by the inbred effects.
epi.sym.size	The proportion of the variance explained by the symmetric epistatic effects.
epi.asym.size	The proportion of the variance explained by the asymmetric epistatic effects.
maternal.size	The proportion of the variance explained by the maternal effects.
n.each	DEFAULT: 5. The number of individuals simulated per cell of the diallel. Total sample size of diallel cross will be n.each * 64
num.sim	DEFAULT: 1. The number of diallel cross simulations to perform.
strains	DEFAULT: c("A", "B", "C", "D", "E", "F", "G", "H"). The strain names used. Defaults to simple letter representation.

Examples

simulate.diallel()

gkeele/DIDACT documentation built on Jan. 1, 2020, 2:58 a.m.