High-Performance Open-Source Archive
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. Details can be found in Arel-Bundock, Greifer, and Heiss (2024) <doi:10.18637/jss.v111.i09>.
| Reference manual: | marginaleffects.html , marginaleffects.pdf |
| Vignettes: |
Model to Meaning (source, R code) |
| Package source: | marginaleffects_0.32.0.tar.gz |
| Windows binaries: | r-devel: marginaleffects_0.32.0.zip, r-release: marginaleffects_0.32.0.zip, r-oldrel: marginaleffects_0.32.0.zip |
| macOS binaries: | r-release (arm64): marginaleffects_0.32.0.tgz, r-oldrel (arm64): marginaleffects_0.32.0.tgz, r-release (x86_64): marginaleffects_0.32.0.tgz, r-oldrel (x86_64): marginaleffects_0.32.0.tgz |
| Old sources: | marginaleffects archive |
| Reverse imports: | adrftools, bsitar, clarify, dotwhisker, etwfe, ggfixest, healthequal, lapop, mvgam, pminternal, psre, spatialreg, statuser, surveycore, SynergyLMM |
| Reverse suggests: | bayestestR, beeca, broom.helpers, catregs, couplr, DAGassist, dcce, DeclareDesign, descriptio, easystats, forrest, ggeffects, gratia, insight, lmw, MatchIt, modelbased, modelsummary, optweight, ordbetareg, outstandR, parameters, rdss, report, see, spicy, tinytable, VizTest, WeightIt |
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