1.StatMod

This library packages together those functions, other than those for microarray data analysis, which I wish to make public.

<code>tweedie</code>,
<code>canonic.digamma</code>,
<code>unitdeviance.digamma</code>,
<code>varfun.digamma</code>,
<code>cumulant.digamma</code>,
<code>d2cumulant.digamma</code>,
<code>meanval.digamma</code>
and <code>logmdigamma</code>
and functions to fit non-standard generalized linear models. 

<code>qres</code> implements randomized quantile residuals for generalized linear models.

<code>compareGrowthCurves</code>,
<code>compareTwoGrowthCurves</code> and
<code>meanT</code>
are functions to test for differences between growth curves with repeated measurements on subjects.

<code>qinvgauss</code>,
<code>dinvgauss</code>,
<code>pinvgauss</code> and
<code>rinvgauss</code>
perform probability calculations for the inverse Gaussian distribution. 

<code>gauss.quad</code> and
<code>gauss.quad.prob</code> compute Gaussian Quadrature with probability distributions. 

<code>hommel.test</code> performs Hommel's multiple comparison tests.

<code>matvec</code> and <code>vecmat</code> facilitate multiplying matrices by vectors. 

<code>power.fisher.test</code> computes the power of Fisher's Exact Test for comparing proportions.

<code>randomizedBlock</code>,
<code>randomizedBlockFit</code> and
<code>glmgam.fit</code> fit mixed linear models.

<code>remlscore</code> and <code>remlscoregamma</code> fit heteroscedastic and varying dispersion models by REML.
<code>welding</code> is an example data set.

<code>sage.test</code> is a fast approximation to Fisher's exact test for each tag for comparing two Serial Analysis of Gene Expression (SAGE) libraries.

documentation

Miscellaneous biostatistical modeling functions.

1.StatMod: Introduction to the StatMod Package

Description

Arguments