sim.liu.2008

sim.liu.2007

Per Liu et al (2008) and Liu et al (2007)

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

sim.liu.2008 function

<dl> <dt>n</dt>
<dd>sample size</dd> <dt>a</dt>
<dd>numeric. If a is 0, then the data is used to study size, otherwise power</dd> <dt>seed</dt>
<dd>optional random number generator seed</dd></dl>

Arguments

Simulate sDataset — sim.liu.2008

<dl>

 <dt>n</dt>
<dd>sample size</dd>

 <dt>a</dt>
<dd>numeric. If a is 0, then the data is used to study size, otherwise power</dd>

 <dt>seed</dt>
<dd>optional random number generator seed</dd>

</dl>

sim.liu.2008: Simulate sDataset

Description

Usage

Arguments