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statmod (version 1.4.22)

Statistical Modeling

Description

A collection of algorithms and functions to aid statistical modeling. Includes growth curve comparisons, limiting dilution analysis (aka ELDA), mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models. Includes advanced generalized linear model functions that implement secure convergence, dispersion modeling and Tweedie power-law families.

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Version

Install

install.packages('statmod')

Monthly Downloads

64,770

Version

1.4.22

License

GPL-2 | GPL-3

Maintainer

Gordon Smyth

Last Published

October 27th, 2015

Functions in statmod (1.4.22)

remlscoregamma

Approximate REML for gamma regression with structured dispersion
meanT

Mean t-Statistic Between Two Groups of Growth Curves
permp

Exact permutation p-values
statmod-package

Introduction to the StatMod Package
welding

Data: Tensile Strength of Welds
gauss.quad.prob

Gaussian Quadrature with Probability Distributions
power.fisher.test

Power of Fisher's Exact Test for Comparing Proportions
qresiduals

Randomized Quantile Residuals
growthcurve

Compare Groups of Growth Curves
invgauss

Inverse Gaussian Distribution
glm.scoretest

Score Test for Adding a Covariate to a GLM
mixedModel2

Fit Mixed Linear Model with 2 Error Components
hommel.test

Test Multiple Comparisons Using Hommel's Method
elda

Extreme Limiting Dilution Analysis
logmdigamma

Log Minus Digamma Function
plot.limdil

Plot or print an object of class limdil
tweedie

Tweedie Generalized Linear Models
gauss.quad

Gaussian Quadrature
forward

Forward Selection of Covariates for Multiple Regression
remlscore

REML for Heteroscedastic Regression
fitNBP

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

Digamma generalized linear model family
glmgam.fit

Fit Generalized Linear Model by Fisher Scoring with Levenberg Damping
matvec

Multiply a Matrix by a Vector
sage.test

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

M Scale Estimation