# statmod v1.4.32

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## Statistical Modeling

A collection of algorithms and functions to aid statistical modeling. Includes limiting dilution analysis (aka ELDA), growth curve comparisons, mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models. Also includes a number of advanced generalized linear model functions including new Tweedie and Digamma glm families and a secure convergence algorithm.

## Functions in statmod

 Name Description logmdigamma Log Minus Digamma Function matvec Multiply a Matrix by a Vector qresiduals Randomized Quantile Residuals remlscore REML for Heteroscedastic Regression fitNBP Negative Binomial Model for SAGE Libraries with Pearson Estimation of Dispersion forward Forward Selection of Covariates for Multiple Regression plot.limdil Plot or print an object of class limdil power.fisher.test Power of Fisher's Exact Test for Comparing Proportions welding Data: Tensile Strength of Welds Digamma Digamma generalized linear model family glm.scoretest Score Test for Adding a Covariate to a GLM growthcurve Compare Groups of Growth Curves mscale M Scale Estimation elda Extreme Limiting Dilution Analysis permp Exact permutation p-values statmod-package Introduction to the StatMod Package meanT Mean t-Statistic Between Two Groups of Growth Curves mixedModel2 Fit Mixed Linear Model with 2 Error Components tweedie Tweedie Generalized Linear Models glmnb.fit Fit Negative Binomial Generalized Linear Model with Log-Link glmgam.fit Fit Gamma Generalized Linear Model by Fisher Scoring with Identity Link hommel.test Test Multiple Comparisons Using Hommel's Method invgauss Inverse Gaussian Distribution remlscoregamma Approximate REML for gamma regression with structured dispersion sage.test Exact Binomial Tests For Comparing Two SAGE Libraries (Obsolete) gauss.quad Gaussian Quadrature gauss.quad.prob Gaussian Quadrature with Probability Distributions No Results!