Package index • statmod

All functions
`Digamma()` `unitdeviance.digamma()` `cumulant.digamma()` `meanval.digamma()` `d2cumulant.digamma()` `varfun.digamma()` `canonic.digamma()`	Digamma Generalized Linear Model Family
`elda()` `limdil()` `eldaOneGroup()`	Extreme Limiting Dilution Analysis
`expectedDeviance()`	Expected Value of Scaled Unit Deviance for Linear Exponential Families
`fitNBP()`	Negative Binomial Model for SAGE Libraries with Pearson Estimation of Dispersion
`forward()`	Forward Selection of Covariates for Multiple Regression
`gauss.quad()`	Gaussian Quadrature
`gauss.quad.prob()`	Gaussian Quadrature with Probability Distributions
`glmgam.fit()`	Fit Gamma Generalized Linear Model by Fisher Scoring with Identity Link
`glmnb.fit()`	Fit Negative Binomial Generalized Linear Model with Log-Link
`glm.scoretest()`	Score Test for Adding a Covariate to a GLM
`compareGrowthCurves()` `compareTwoGrowthCurves()` `plotGrowthCurves()`	Compare Groups of Growth Curves
`hommel.test()`	Test Multiple Comparisons Using Hommel's Method
`dinvgauss()` `pinvgauss()` `qinvgauss()` `rinvgauss()`	Inverse Gaussian Distribution
`logmdigamma()`	Log Minus Digamma Function
`matvec()` `vecmat()`	Multiply a Matrix by a Vector
`meanT()`	Mean t-Statistic Between Two Groups of Growth Curves
`mixedModel2()` `mixedModel2Fit()` `randomizedBlock()` `randomizedBlockFit()`	Fit Mixed Linear Model with 2 Error Components
`mscale()`	M Scale Estimation
`permp()`	Exact permutation p-values
`print(<limdil>)` `plot(<limdil>)`	Plot or print an object of class limdil
`power.fisher.test()`	Power of Fisher's Exact Test for Comparing Proportions
`qresiduals()` `qresid()` `qres.binom()` `qres.pois()` `qres.nbinom()` `qres.gamma()` `qres.invgauss()` `qres.tweedie()` `qres.default()`	Randomized Quantile Residuals
`remlscore()`	REML for Heteroscedastic Regression
`remlscoregamma()`	Approximate REML for Gamma Regression with Structured Dispersion
`sage.test()`	Exact Binomial Tests For Comparing Two SAGE Libraries (Obsolete)
`statmod` `statmod-package`	Introduction to the StatMod Package
`tweedie()`	Tweedie Generalized Linear Models
`welding`	Data: Tensile Strength of Welds

Reference

All functions