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gmodels

Tools for fitting linear models that complement those in base R.

Provided functions include:

  • ci - Compute Confidence Intervals
  • coefFrame - Return model parameters in a data frame
  • CrossTable - Cross Tabulation with Tests for Factor Independence
  • estimable - Compute contrasts and estimable linear functions
  • fast.prcomp - Efficient computation of principal components and singular value decomposition
  • fit.contrast - Compute and test arbitrary contrasts for regression objects
  • glh.test - Test a General Linear Hypothesis for a Regression Model
  • make.contrasts - Construct a User-Specified Contrast Matrix

Installation

Install the released version of gmodels from CRAN with:

install.packages('gmodels')

Install the development version of gmodels from GitHub with:

# install.packages("devtools")
devtools::install_github("r-gregmisc/gmodels")

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Install

install.packages('gmodels')

Monthly Downloads

38,020

Version

2.19.1

License

GPL-2

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Last Published

March 6th, 2024

Functions in gmodels (2.19.1)

estimable

Contrasts and estimable linear functions of model coefficients
coefFrame

Return model parameters in a data frame
CrossTable

Cross Tabulation with Tests for Factor Independence
ci

Compute Confidence Intervals
glh.test

Test a General Linear Hypothesis for a Regression Model
.to.est

Return a vector for cm in estimable()
fast.prcomp

Efficient computation of principal components and singular value decompositions.
fit.contrast

Compute and test arbitrary contrasts for regression objects
make.contrasts

Construct a User-Specified Contrast Matrix
est_p_ci

Display estimate, confidence interval and p-value for one model term