Routines for the analysis of indirectly measured haplotypes. The statistical methods assume that all subjects are unrelated and that haplotypes are ambiguous (due to unknown linkage phase of the genetic markers). The main functions are: haplo.em(), haplo.glm(), haplo.score(), and haplo.power(); all of which have detailed examples in the vignette.

Statistical Analysis of Haplotypes with Traits and Covariates
when Linkage Phase is Ambiguous

package-ubuntu-20.04-r-4.0.5#cran#haplo.stats-1.8.6

<p>For internal use within the haplo.stats library's haplo.glm function
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>fit</code></td>
<td>

<p>glm fitted object
</p>
</td>
</tr>
<tr valign="top">
<td><code>epsilon</code></td>
<td>

<p>cut-off for singular values in the generalized inverse of the
information matrix  
</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#haplo.stats-1.8.6#docs#louis.info

louis.info

Description

Usage

Arguments

haplo.stats

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`fit`	glm fitted object
`epsilon`	cut-off for singular values in the generalized inverse of the information matrix