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A one-function package containing prediction(), a type-safe alternative to predict() that always returns a data frame. The summary() method provides a data frame with average predictions, possibly over counterfactual versions of the data (à la the margins command in 'Stata'). Marginal effect estimation is provided by the related package, 'margins' <https://cran.r-project.org/package=margins>. The package currently supports common model types (e.g., lm, glm) from the 'stats' package, as well as numerous other model classes from other add-on packages. See the README file or main package documentation page for a complete listing.
Version: | 0.3.18 |
Depends: | R (≥ 3.5.0) |
Imports: | utils, stats, data.table |
Suggests: | datasets, methods, testthat |
Enhances: | AER, aod, betareg, biglm, brglm, caret, crch, e1071, earth, ff, gam (≥ 1.15), gee, glmnet, glmx, kernlab, lme4, MASS, mclogit, mda, mlogit, MNP, nlme, nnet, ordinal, plm, pscl, quantreg, rpart, sampleSelection, speedglm, survey (≥ 3.31-5), survival, truncreg, VGAM |
Published: | 2024-06-11 |
DOI: | 10.32614/CRAN.package.prediction |
Author: | Thomas J. Leeper [aut], Carl Ganz [ctb], Vincent Arel-Bundock [ctb], Ben Bolker [ctb, cre] |
Maintainer: | Ben Bolker <bolker at mcmaster.ca> |
BugReports: | https://github.com/bbolker/prediction/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/bbolker/prediction |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | prediction results |
Reference manual: | prediction.pdf |
Package source: | prediction_0.3.18.tar.gz |
Windows binaries: | r-devel: prediction_0.3.18.zip, r-release: prediction_0.3.18.zip, r-oldrel: prediction_0.3.18.zip |
macOS binaries: | r-release (arm64): prediction_0.3.18.tgz, r-oldrel (arm64): prediction_0.3.18.tgz, r-release (x86_64): prediction_0.3.18.tgz, r-oldrel (x86_64): prediction_0.3.18.tgz |
Old sources: | prediction archive |
Reverse imports: | margins, mhurdle |
Reverse suggests: | estimatr |
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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.