pchisqmix

The approximate null distribution of a likelihood ratio for 2 nested mixed models,
where both fixed and random effects are tested simultaneously, is a very specific mixture
of chi-square distributions. It depends on both the number of random effects
and the number of fixed effects to be tested simultaneously. Note that this function is a copy
of the <code>pchisqmix</code> function of the <code>TcGSA</code> package.

Provides functions to test for gene x gene interactions in a
bi-parental population of inbred lines. The data are fitted with the
mixed linear model described in Rio et al. (2022) <doi:10.1101/2022.12.18.520958>,
that accounts for gene x gene interactions
at both the fixed effect and variance levels. The package also
provides graphical tools to display the gene x gene interaction trend at
the mean level and the variance component analysis.

Simon Rio

EpiTest

Test for Gene x Gene Interactions in Bi-Parental Populations

Tristan Mary-Huard

pchisqmix function

<dl><dt>quant</dt>
<dd>a quantile</dd>
<dt>s</dt>
<dd>number of fixed effects to be tested</dd>
<dt>q</dt>
<dd>number of random effects to be tested</dd>
<dt>lower.tail</dt>
<dd>logical. if TRUE (default), probabilities are \(P[X&lt;=x]\), otherwise \(P[X&gt;x]\).</dd></dl>

Arguments

Chi-Squared Mixtures Distribution Function — pchisqmix

<dl>

<dt>quant</dt>
<dd>a quantile</dd>


<dt>s</dt>
<dd>number of fixed effects to be tested</dd>


<dt>q</dt>
<dd>number of random effects to be tested</dd>


<dt>lower.tail</dt>
<dd>logical. if TRUE (default), probabilities are \(P[X&lt;=x]\), otherwise \(P[X&gt;x]\).</dd>

</dl>

pchisqmix: Chi-Squared Mixtures Distribution Function

Description

Usage

Value

Arguments