dmdirichlet

ddirichlet

rdirichlet

rmdirichlet

modifyDirichlet

logIntegrateMixDirichlet

logIntegrateDirichlet

Functions related to mixture Dirichlet distribution

Implements several methods for testing the variance component parameter in regression models that contain kernel-based random effects, including a maximum of adjusted scores test. Several kernels are supported, including a profile hidden Markov model mutual information kernel for protein sequence. This package is described in Fong et al. (2015) <DOI:10.1093/biostatistics/kxu056>.

Youyi Fong

Kernel Based Regression Models

Saheli Datta

Krisztian Sebestyen

Steve Park

Dave Geyer

dmdirichlet function

<dl> <dt>x</dt>
<dd>A vector containing a single deviate or matrix containing one random deviate per row.</dd> <dt>mAlpha</dt>
<dd>matrix. Each row is a parameter of Dirichlet</dd> <dt>alpha</dt>
<dd>numeric vector. Parameter for a Dirichlet distribution</dd> <dt>mixtureCoef</dt>
<dd>numeric vector</dd> <dt>n</dt>
<dd>integer</dd>
 <dt>prior</dt>
<dd>list of two components: alpha and mix.coef</dd> <dt>y</dt>
<dd>numeric vector of counts</dd> <dt>tau</dt>
<dd>numeric</dd></dl>

Arguments

Functions related to mixture Dirichlet distribution — dmdirichlet

<dl>

 <dt>x</dt>
<dd>A vector containing a single deviate or matrix containing one random deviate per row.</dd>

 <dt>mAlpha</dt>
<dd>matrix. Each row is a parameter of Dirichlet</dd>

 <dt>alpha</dt>
<dd>numeric vector. Parameter for a Dirichlet distribution</dd>

 <dt>mixtureCoef</dt>
<dd>numeric vector</dd>

 <dt>n</dt>
<dd>integer</dd>


 <dt>prior</dt>
<dd>list of two components: alpha and mix.coef</dd>

 <dt>y</dt>
<dd>numeric vector of counts</dd>

 <dt>tau</dt>
<dd>numeric</dd>

</dl>

Functions related to mixture Dirichlet distribution

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dmdirichlet: Functions related to mixture Dirichlet distribution

Description

Usage

Arguments

Details