haplo.model.frame

For internal use within the haplo.stats library

models

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.

Jason Sinnwell

haplo.stats

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

Schaid Daniel

Jason P. Sinnwell

haplo.model.frame function

<dl>
<dt>m</dt>
<dd>model.frame from evaluated formula</dd><dt>locus.label </dt>
<dd>labels for loci in genotype matrix</dd><dt>control</dt>
<dd>control parameters for haplo.glm</dd></dl>

Arguments

Sets up a model frame for haplo.glm — haplo.model.frame

<dl>


<dt>m</dt>
<dd>model.frame from evaluated formula</dd>

<dt>locus.label </dt>
<dd>labels for loci in genotype matrix</dd>

<dt>control</dt>
<dd>control parameters for haplo.glm</dd>

</dl>

haplo.model.frame: Sets up a model frame for haplo.glm

Description

Usage

Value

Arguments

Details