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| statmod-package | Introduction to the StatMod Package |
| canonic.digamma | Digamma generalized linear model family |
| compareGrowthCurves | Compare Groups of Growth Curves |
| compareTwoGrowthCurves | Compare Groups of Growth Curves |
| cumulant.digamma | Digamma generalized linear model family |
| d2cumulant.digamma | Digamma generalized linear model family |
| Digamma | Digamma generalized linear model family |
| dinvgauss | Inverse Gaussian Distribution |
| elda | Extreme Limiting Dilution Analysis |
| eldaOneGroup | Extreme Limiting Dilution Analysis |
| 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 |
| glm.scoretest | Score Test for Adding a Covariate to a GLM |
| glmgam.fit | Fit Generalized Linear Model by Fisher Scoring with Levenberg Damping |
| glmnb.fit | Fit Generalized Linear Model by Fisher Scoring with Levenberg Damping |
| hommel.test | Test Multiple Comparisons Using Hommel's Method |
| InverseGaussian | Inverse Gaussian Distribution |
| limdil | Extreme Limiting Dilution Analysis |
| limdil.class | Extreme Limiting Dilution Analysis |
| logmdigamma | Log Minus Digamma Function |
| matvec | Multiply a Matrix by a Vector |
| meanT | Mean t-Statistic Between Two Groups of Growth Curves |
| meanval.digamma | Digamma generalized linear model family |
| mixedModel2 | Fit Mixed Linear Model with 2 Error Components |
| mixedModel2Fit | Fit Mixed Linear Model with 2 Error Components |
| mscale | M Scale Estimation |
| permp | Exact permutation p-values |
| pinvgauss | Inverse Gaussian Distribution |
| plot.limdil | Plot or print an object of class limdil |
| plotGrowthCurves | Compare Groups of Growth Curves |
| power.fisher.test | Power of Fisher's Exact Test for Comparing Proportions |
| print.limdil | Plot or print an object of class limdil |
| qinvgauss | Inverse Gaussian Distribution |
| qres.binom | Randomized Quantile Residuals |
| qres.default | Randomized Quantile Residuals |
| qres.gamma | Randomized Quantile Residuals |
| qres.invgauss | Randomized Quantile Residuals |
| qres.nbinom | Randomized Quantile Residuals |
| qres.pois | Randomized Quantile Residuals |
| qres.tweedie | Randomized Quantile Residuals |
| qresid | Randomized Quantile Residuals |
| qresiduals | Randomized Quantile Residuals |
| randomizedBlock | Fit Mixed Linear Model with 2 Error Components |
| randomizedBlockFit | Fit Mixed Linear Model with 2 Error Components |
| remlscore | REML for Heteroscedastic Regression |
| remlscoregamma | Approximate REML for gamma regression with structured dispersion |
| rinvgauss | Inverse Gaussian Distribution |
| sage.test | Exact Binomial Tests For Comparing Two SAGE Libraries (Obsolete) |
| statmod | Introduction to the StatMod Package |
| tweedie | Tweedie Generalized Linear Models |
| unitdeviance.digamma | Digamma generalized linear model family |
| varfun.digamma | Digamma generalized linear model family |
| vecmat | Multiply a Matrix by a Vector |
| welding | Data: Tensile Strength of Welds |