Learn R Programming

⚠️There's a newer version (1.5.1) of this package.Take me there.

statmod (version 1.4.25)

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.

Copy Link

Version

Install

install.packages('statmod')

Monthly Downloads

112,145

Version

1.4.25

License

GPL-2 | GPL-3

Maintainer

Gordon Smyth

Last Published

August 5th, 2016

Functions in statmod (1.4.25)

forward

Forward Selection of Covariates for Multiple Regression
hommel.test

Test Multiple Comparisons Using Hommel's Method
gauss.quad

Gaussian Quadrature
gauss.quad.prob

Gaussian Quadrature with Probability Distributions
glm.scoretest

Score Test for Adding a Covariate to a GLM
growthcurve

Compare Groups of Growth Curves
elda

Extreme Limiting Dilution Analysis
glmgam.fit

Fit Generalized Linear Model by Fisher Scoring with Levenberg Damping
Digamma

Digamma generalized linear model family
fitNBP

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

Log Minus Digamma Function
invgauss

Inverse Gaussian Distribution
permp

Exact permutation p-values
power.fisher.test

Power of Fisher's Exact Test for Comparing Proportions
matvec

Multiply a Matrix by a Vector
mscale

M Scale Estimation
qresiduals

Randomized Quantile Residuals
meanT

Mean t-Statistic Between Two Groups of Growth Curves
mixedModel2

Fit Mixed Linear Model with 2 Error Components
plot.limdil

Plot or print an object of class limdil
sage.test

Exact Binomial Tests For Comparing Two SAGE Libraries (Obsolete)
statmod-package

Introduction to the StatMod Package
welding

Data: Tensile Strength of Welds