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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_0.21.0.tar.gz |
Windows binaries: | r-devel: marginaleffects_0.21.0.zip, r-release: marginaleffects_0.21.0.zip, r-oldrel: marginaleffects_0.21.0.zip |
macOS binaries: | r-release (arm64): marginaleffects_0.21.0.tgz, r-oldrel (arm64): marginaleffects_0.21.0.tgz, r-release (x86_64): marginaleffects_0.21.0.tgz, r-oldrel (x86_64): marginaleffects_0.21.0.tgz |
Old sources: | marginaleffects archive |
Reverse imports: | bsitar, clarify, etwfe, ggfixest, healthequal, mvgam |
Reverse suggests: | beeca, broom.helpers, catregs, DeclareDesign, ggeffects, insight, lmw, MatchIt, modelbased, modelsummary, ordbetareg, parameters, tinytable, WeightIt |
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These binaries (installable software) and packages are in development.
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