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statmod (version 1.4.26)

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

72,118

Version

1.4.26

License

GPL-2 | GPL-3

Maintainer

Last Published

August 28th, 2016

Functions in statmod (1.4.26)

fitNBP

Negative Binomial Model for SAGE Libraries with Pearson Estimation of Dispersion
gauss.quad.prob

Gaussian Quadrature with Probability Distributions
elda

Extreme Limiting Dilution Analysis
forward

Forward Selection of Covariates for Multiple Regression
glmgam.fit

Fit Generalized Linear Model by Fisher Scoring with Levenberg Damping
glm.scoretest

Score Test for Adding a Covariate to a GLM
Digamma

Digamma generalized linear model family
hommel.test

Test Multiple Comparisons Using Hommel's Method
growthcurve

Compare Groups of Growth Curves
gauss.quad

Gaussian Quadrature
meanT

Mean t-Statistic Between Two Groups of Growth Curves
mscale

M Scale Estimation
matvec

Multiply a Matrix by a Vector
mixedModel2

Fit Mixed Linear Model with 2 Error Components
invgauss

Inverse Gaussian Distribution
plot.limdil

Plot or print an object of class limdil
power.fisher.test

Power of Fisher's Exact Test for Comparing Proportions
logmdigamma

Log Minus Digamma Function
permp

Exact permutation p-values
qresiduals

Randomized Quantile Residuals
sage.test

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

Data: Tensile Strength of Welds
statmod-package

Introduction to the StatMod Package