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autoMrP
View on CRAN: Click
here
Download and install autoMrP package within the R console
Install from CRAN:
install.packages("autoMrP")
Install from Github:
library("remotes")
install_github("cran/autoMrP")
Install by package version:
library("remotes")
install_version("autoMrP", "1.0.6")
Attach the package and use:
library("autoMrP")
Maintained by
Philipp Broniecki
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-01-21
Latest Update: 2023-08-17
Description:
A tool that improves the prediction performance of multilevel
regression with post-stratification (MrP) by combining a number of machine
learning methods. For information on the method, please refer to Broniecki,
W
How to cite:
Philipp Broniecki (2021). autoMrP: Improving MrP with Ensemble Learning. R package version 1.0.6, https://cran.r-project.org/web/packages/autoMrP
Previous versions and publish date:
Other packages that cited autoMrP R package
View autoMrP citation profile
Other R packages that autoMrP depends,
imports, suggests or enhances
Functions, R codes and Examples using
the autoMrP R package
Some associated functions: absentee_census . absentee_voting . auto_MrP . best_subset_classifier . binary_cross_entropy . boot_auto_mrp . census . cv_folding . deep_mrp_classifier . ebma . ebma_folding . ebma_mc_draws . ebma_mc_tol . error_checks . f1_score . gb_classifier . gb_classifier_update . lasso_classifier . log_spaced . loss_function . loss_score_ranking . mean_absolute_error . mean_squared_error . mean_squared_false_error . model_list . model_list_pca . multicore . output_table . plot.autoMrP . post_stratification . predict_glmmLasso . quiet . run_best_subset . run_best_subset_mc . run_classifiers . run_gb . run_gb_mc . run_lasso . run_lasso_mc_lambda . run_pca . run_svm . run_svm_mc . summary.autoMrP . survey_item . svm_classifier . taxes_census . taxes_survey .
Some associated R codes: absentee_census.R . absentee_voting.R . auto_mrp.R . best_subset_classifier.R . boot_auto_mrp.R . build_folds.R . census_data.R . ebma.R . gb_classifier.R . globals.R . lasso_classifier.R . post_stratification.R . run_best_subset.R . run_classifiers.R . run_gb.R . run_lasso.R . run_pca.R . run_svm.R . survey_data.R . svm_classifier.R . taxes_census.R . taxes_survey.R . taxes_truth.R . utils.R . zzz.R . Full autoMrP package functions and examples
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