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statmod (version 1.4.18)

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

64,770

Version

1.4.18

License

GPL (>= 2)

Maintainer

Gordon Smyth

Last Published

September 27th, 2013

Functions in statmod (1.4.18)

forward

Forward Selection of Covariates for Multiple Regression
elda

Extreme Limiting Dilution Analysis
tweedie

Tweedie Generalized Linear Models
hommel.test

Test Multiple Comparisons Using Hommel's Method
permp

Exact permutation p-values
power.fisher.test

Power of Fisher's Exact Test for Comparing Proportions
remlscoregamma

Approximate REML for gamma regression with structured dispersion
meanT

Mean t-Statistic Between Two Groups of Growth Curves
gauss.quad

Gaussian Quadrature
qresiduals

Randomized Quantile Residuals
logmdigamma

Log Minus Digamma Function
remlscore

REML for Heteroscedastic Regression
welding

Data: Tensile Strength of Welds
glmgam.fit

Fit Generalized Linear Model by Fisher Scoring with Levenberg Damping
gauss.quad.prob

Gaussian Quadrature with Probability Distributions
1.StatMod

Introduction to the StatMod Package
invgauss

Inverse Gaussian Distribution
sage.test

Exact Binomial Tests For Comparing Two SAGE Libraries (Obsolete)
mscale

M Scale Estimation
fitNBP

Negative Binomial Model for SAGE Libraries with Pearson Estimation of Dispersion
mixedModel2

Fit Mixed Linear Model with 2 Error Components
glm.scoretest

Score Test for Adding a Covariate to a GLM
growthcurve

Compare Groups of Growth Curves
plot.limdil

Plot or print an object of class limdil
matvec

Multiply a Matrix by a Vector
Digamma

Digamma generalized linear model family