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effects: Effect Displays for Linear, Generalized Linear, and Other Models

Graphical and tabular effect displays, e.g., of interactions, for various statistical models with linear predictors.

Version: 4.2-2
Depends: R (≥ 3.5.0), carData
Imports: lme4, nnet, lattice, grid, colorspace, graphics, grDevices, stats, survey, utils, estimability, insight
Suggests: pbkrtest (≥ 0.4-4), nlme, MASS, poLCA, heplots, splines, ordinal, car, knitr, betareg, alr4, robustlmm
Published: 2022-07-13
DOI: 10.32614/CRAN.package.effects
Author: John Fox [aut, cre], Sanford Weisberg [aut], Brad Price [aut], Michael Friendly [aut], Jangman Hong [aut], Robert Andersen [ctb], David Firth [ctb], Steve Taylor [ctb], R Core Team [ctb]
Maintainer: John Fox <jfox at mcmaster.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.r-project.org, https://socialsciences.mcmaster.ca/jfox/
NeedsCompilation: no
Citation: effects citation info
Materials: NEWS
In views: Econometrics, MachineLearning, MixedModels, TeachingStatistics
CRAN checks: effects results

Documentation:

Reference manual: effects.pdf
Vignettes: Regression Models Supported by the effects Package
Effect Displays with Partial Residuals
Predictor Effects Graphics Gallery

Downloads:

Package source: effects_4.2-2.tar.gz
Windows binaries: r-devel: effects_4.2-2.zip, r-release: effects_4.2-2.zip, r-oldrel: effects_4.2-2.zip
macOS binaries: r-release (arm64): effects_4.2-2.tgz, r-oldrel (arm64): effects_4.2-2.tgz, r-release (x86_64): effects_4.2-2.tgz, r-oldrel (x86_64): effects_4.2-2.tgz
Old sources: effects archive

Reverse dependencies:

Reverse depends: alr4, Rcmdr
Reverse imports: adventr, Deducer, GLMpack, nestedLogit, SemNeT
Reverse suggests: acss, AER, afex, agridat, BiodiversityR, broom.helpers, car, cv, ggeffects, GLMMadaptive, glmmTMB, Guerry, heplots, HistData, ivreg, psychomix, sdmTMB, sjPlot, vcdExtra

Linking:

Please use the canonical form https://CRAN.R-project.org/package=effects to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.