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statmod (version 1.4.24)

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

1.4.24

License

GPL-2 | GPL-3

Maintainer

Gordon Smyth

Last Published

February 2nd, 2016

Functions in statmod (1.4.24)

growthcurve

Compare Groups of Growth Curves
gauss.quad.prob

Gaussian Quadrature with Probability Distributions
glm.scoretest

Score Test for Adding a Covariate to a GLM
invgauss

Inverse Gaussian Distribution
statmod-package

Introduction to the StatMod Package
remlscore

REML for Heteroscedastic Regression
remlscoregamma

Approximate REML for gamma regression with structured dispersion
logmdigamma

Log Minus Digamma Function
forward

Forward Selection of Covariates for Multiple Regression
glmgam.fit

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

Gaussian Quadrature
plot.limdil

Plot or print an object of class limdil
mscale

M Scale Estimation
sage.test

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

Digamma generalized linear model family
mixedModel2

Fit Mixed Linear Model with 2 Error Components
hommel.test

Test Multiple Comparisons Using Hommel's Method
welding

Data: Tensile Strength of Welds
matvec

Multiply a Matrix by a Vector
fitNBP

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

Randomized Quantile Residuals
elda

Extreme Limiting Dilution Analysis
meanT

Mean t-Statistic Between Two Groups of Growth Curves
tweedie

Tweedie Generalized Linear Models
power.fisher.test

Power of Fisher's Exact Test for Comparing Proportions
permp

Exact permutation p-values