statmod v1.4.32

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Statistical Modeling

A collection of algorithms and functions to aid statistical modeling. Includes limiting dilution analysis (aka ELDA), growth curve comparisons, mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models. Also includes a number of advanced generalized linear model functions including new Tweedie and Digamma glm families and a secure convergence algorithm.

Functions in statmod

Name Description
logmdigamma Log Minus Digamma Function
matvec Multiply a Matrix by a Vector
qresiduals Randomized Quantile Residuals
remlscore REML for Heteroscedastic Regression
fitNBP Negative Binomial Model for SAGE Libraries with Pearson Estimation of Dispersion
forward Forward Selection of Covariates for Multiple Regression
plot.limdil Plot or print an object of class limdil
power.fisher.test Power of Fisher's Exact Test for Comparing Proportions
welding Data: Tensile Strength of Welds
Digamma Digamma generalized linear model family
glm.scoretest Score Test for Adding a Covariate to a GLM
growthcurve Compare Groups of Growth Curves
mscale M Scale Estimation
elda Extreme Limiting Dilution Analysis
permp Exact permutation p-values
statmod-package Introduction to the StatMod Package
meanT Mean t-Statistic Between Two Groups of Growth Curves
mixedModel2 Fit Mixed Linear Model with 2 Error Components
tweedie Tweedie Generalized Linear Models
glmnb.fit Fit Negative Binomial Generalized Linear Model with Log-Link
glmgam.fit Fit Gamma Generalized Linear Model by Fisher Scoring with Identity Link
hommel.test Test Multiple Comparisons Using Hommel's Method
invgauss Inverse Gaussian Distribution
remlscoregamma Approximate REML for gamma regression with structured dispersion
sage.test Exact Binomial Tests For Comparing Two SAGE Libraries (Obsolete)
gauss.quad Gaussian Quadrature
gauss.quad.prob Gaussian Quadrature with Probability Distributions
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Details

Date 2019-05-29
License GPL-2 | GPL-3
NeedsCompilation yes
Packaged 2019-05-29 08:16:02 UTC; smyth
Repository CRAN
Date/Publication 2019-05-29 09:40:02 UTC

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