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

Description Usage Arguments Examples

View source: R/decision_functions.R

Description

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

Usage

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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

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gkeele/DIDACT documentation built on Dec. 9, 2018, 12:27 a.m.