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statmod (version 1.4.19)

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

82,631

Version

1.4.19

License

GPL (>= 2)

Maintainer

Gordon Smyth

Last Published

April 13th, 2014

Functions in statmod (1.4.19)

Gaussian Quadrature

Randomized Quantile Residuals

Forward Selection of Covariates for Multiple Regression

Fit Generalized Linear Model by Fisher Scoring with Levenberg Damping

Compare Groups of Growth Curves

power.fisher.test

Power of Fisher's Exact Test for Comparing Proportions

Fit Mixed Linear Model with 2 Error Components

Extreme Limiting Dilution Analysis

Log Minus Digamma Function

Score Test for Adding a Covariate to a GLM

Introduction to the StatMod Package

REML for Heteroscedastic Regression

Approximate REML for gamma regression with structured dispersion

gauss.quad.prob

Gaussian Quadrature with Probability Distributions

Digamma generalized linear model family

Multiply a Matrix by a Vector

Negative Binomial Model for SAGE Libraries with Pearson Estimation of Dispersion

Plot or print an object of class limdil

Tweedie Generalized Linear Models

Exact permutation p-values

Mean t-Statistic Between Two Groups of Growth Curves

M Scale Estimation

Data: Tensile Strength of Welds

Exact Binomial Tests For Comparing Two SAGE Libraries (Obsolete)

Test Multiple Comparisons Using Hommel's Method

Inverse Gaussian Distribution