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Compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and machine learning models in R. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference.
Reference manual: | marginaleffects.pdf |
Package source: | marginaleffects_0.23.0.tar.gz |
Windows binaries: | r-devel: marginaleffects_0.23.0.zip, r-release: marginaleffects_0.23.0.zip, r-oldrel: marginaleffects_0.23.0.zip |
macOS binaries: | r-release (arm64): marginaleffects_0.23.0.tgz, r-oldrel (arm64): marginaleffects_0.23.0.tgz, r-release (x86_64): marginaleffects_0.23.0.tgz, r-oldrel (x86_64): marginaleffects_0.23.0.tgz |
Old sources: | marginaleffects archive |
Reverse imports: | bsitar, clarify, etwfe, ggfixest, healthequal, mvgam |
Reverse suggests: | bayestestR, beeca, broom.helpers, catregs, DeclareDesign, ggeffects, insight, lmw, MatchIt, modelbased, modelsummary, ordbetareg, parameters, tinytable, WeightIt |
Please use the canonical form https://CRAN.R-project.org/package=marginaleffects 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.