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prediction
View on CRAN: Click
here
Download and install prediction package within the R console
Install from CRAN:
install.packages("prediction")
Install from Github:
library("remotes")
install_github("cran/prediction")
Install by package version:
library("remotes")
install_version("prediction", "0.3.18")
Attach the package and use:
library("prediction")
Maintained by
Ben Bolker
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-30
Latest Update: 2019-06-17
Description:
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 (a la the 'margins' command in 'Stata'). Marginal effect estimation is provided by the related 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 or main package documentation page for a complete listing.
How to cite:
Ben Bolker (2016). prediction: Tidy, Type-Safe 'prediction()' Methods. R package version 0.3.18, https://cran.r-project.org/web/packages/prediction. Accessed 22 Feb. 2025.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for prediction
Functions, R codes and Examples using
the prediction R package
Some associated functions: build_datalist . find_data . margex . mean_or_mode . prediction . seq_range .
Some associated R codes: build_datalist.R . find_data.R . make_data_frame.R . margex.R . mean_or_mode.R . prediction.R . prediction_Arima.R . prediction_ar.R . prediction_arima0.R . prediction_betareg.R . prediction_bigFastLm.R . prediction_bigglm.R . prediction_biglm.R . prediction_bruto.R . prediction_clm.R . prediction_coxph.R . prediction_crch.R . prediction_earth.R . prediction_fda.R . prediction_gam.R . prediction_gausspr.R . prediction_gee.R . prediction_glimML.R . prediction_glimQL.R . prediction_glm.R . prediction_glmnet.R . prediction_glmx.R . prediction_gls.R . prediction_hetglm.R . prediction_hurdle.R . prediction_hxlr.R . prediction_ivreg.R . prediction_knnreg.R . prediction_kqr.R . prediction_ksvm.R . prediction_lda.R . prediction_lm.R . prediction_lme.R . prediction_loess.R . prediction_lqs.R . prediction_mars.R . prediction_mca.R . prediction_mclogit.R . prediction_merMod.R . prediction_mlogit.R . prediction_mnlogit.R . prediction_mnp.R . prediction_multinom.R . prediction_naiveBayes.R . prediction_nls.R . prediction_nnet.R . prediction_plm.R . prediction_polr.R . prediction_polyreg.R . prediction_ppr.R . prediction_princomp.R . prediction_qda.R . prediction_rlm.R . prediction_rpart.R . prediction_rq.R . prediction_selection.R . prediction_speedglm.R . prediction_speedlm.R . prediction_survreg.R . prediction_svm.R . prediction_svyglm.R . prediction_train.R . prediction_tree.R . prediction_truncreg.R . prediction_vgam.R . prediction_vglm.R . prediction_zeroinfl.R . print.R . seq_range.R . summary.R . utils.R . Full prediction package functions and examples
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