vcov.haplo.glm

Returns the variance-covariance matrix of the main parameters of a
 fitted haplo.glm object

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

vcov.haplo.glm function

<dl><dt>object</dt>
<dd>A haplo.glm object</dd><dt>freq</dt>
<dd>Logical. If TRUE, return the full covariance matrix including the
 entries for the frequency parameters</dd><dt>... </dt>
<dd>Optional arguments for print method</dd></dl>

Arguments

variance-covariance matrix of a fitted haplo.glm object — vcov.haplo.glm

<dl>

<dt>object</dt>
<dd>A haplo.glm object</dd>

<dt>freq</dt>
<dd>Logical. If TRUE, return the full covariance matrix including the
 entries for the frequency parameters</dd>

<dt>... </dt>
<dd>Optional arguments for print method</dd>

</dl>

vcov.haplo.glm: variance-covariance matrix of a fitted haplo.glm object

Description

Usage

Value

Arguments

Details

See Also