evaluate.experiments: Propagate Gibbs Sampler (BayesDiallel model) to posterior...

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

Description

This function runs takes output from the BayesDiallel Gibbs Sampler and propagates these effects to the utility space.

Usage

evaluate.experiments(gibbs.object, n = 50, qtl.num = 1,
  strains.relabel = NULL, use.progress.bar = TRUE)

Arguments

gibbs.object	Posterior samples from the BayesDiallel model fit with diallel.gibbs().
n	DEFAULT: 50. The number of individuals to be included in the proposed QTL mapping experiment.
qtl.num	DEFAULT: 1. The number of QTL underlying the estimated strain-level effects. If greater than 1, the effects are reduced accordingly.
strains.relabel	DEFAULT: NULL. Option to rename strains.
use.progress.bar	DEFAULT: TRUE. A progress bar shows how calculating the utilities is progressing.

Examples

evaluate.experiments()

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