convert.qtl.effect.to.means: Calculates the QTL effect size in a population of means based...
In gkeele/sparcc: Simulated Power Analysis in the Realized Collaborative Cross

This function calculates the QTL effect size in the mapping population on strain means based on the reduction in random variation due to noise that results from averaging the phenotypes of replicates.

1 2	convert.qtl.effect.to.means(qtl.effect.size, strain.effect.size = 0, num.replicates)

`qtl.effect.size`	The proportion of variance due to the QTL in the sample population with replicates. Must be between 0 and 1.
`strain.effect.size`	DEFAULT: 0. The proportion of varianced due to background strain effect. This source of noise, with respect to the QTL signal, cannot be reduced by replicate observation.
`num.replicates`	The number of replicates per CC strain. Higher numbers will result in greater reduction of random error, and larger increases in QTL effect size in the sample population of means.