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statmod (version 1.4.17)

Statistical Modeling

Description

Various statistical modeling functions including growth curve comparisons, limiting dilution analysis, mixed linear models, heteroscedastic regression, Tweedie family generalized linear models, the inverse-Gaussian distribution and Gauss quadrature.

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Version

Install

install.packages('statmod')

Monthly Downloads

75,793

Version

1.4.17

License

GPL (>= 2)

Maintainer

Gordon Smyth

Last Published

February 8th, 2013

Functions in statmod (1.4.17)

Forward Selection of Covariates for Multiple Regression

Mean t-Statistic Between Two Groups of Growth Curves

Inverse Gaussian Distribution

power.fisher.test

Power of Fisher's Exact Test for Comparing Proportions

REML for Heteroscedastic Regression

Log Minus Digamma Function

Gaussian Quadrature

Exact Binomial Tests For Comparing Two SAGE Libraries (Obsolete)

Multiply a Matrix by a Vector

Score Test for Adding a Covariate to a GLM

Tweedie Generalized Linear Models

Test Multiple Comparisons Using Hommel's Method

Fit Mixed Linear Model with 2 Error Components

Deprecated Functions in statmod Package

Negative Binomial Model for SAGE Libraries with Pearson Estimation of Dispersion

Approximate REML for gamma regression with structured dispersion

Data: Tensile Strength of Welds

Extreme Limiting Dilution Analysis

Introduction to the StatMod Package

Compare Groups of Growth Curves

M Scale Estimation

gauss.quad.prob

Gaussian Quadrature with Probability Distributions

Randomized Quantile Residuals

Plot or print an object of class limdil

Fit Generalized Linear Model by Fisher Scoring with Levenberg Damping

Digamma generalized linear model family

Exact permutation p-values