R: Improving MrP with Ensemble Learning

# Improving MrP with Ensemble Learning

## Documentation for package ‘autoMrP’ version 1.0.6

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

absentee_census | Quasi census data.
absentee_voting | A sample of the absentee voting item from the CCES 2008
auto_MrP | Improve MrP through ensemble learning.
best_subset_classifier | Best subset classifier
binary_cross_entropy | Estimates the inverse binary cross-entropy, i.e. 0 is the best score and 1 the worst.
boot_auto_mrp | Bootstrappinng wrapper for auto_mrp
census | Quasi census data.
cv_folding | Generates folds for cross-validation
deep_mrp_classifier | Deep MrP classifier
ebma | Bayesian Ensemble Model Averaging EBMA
ebma_folding | Generates data fold to be used for EBMA tuning
ebma_mc_draws | EBMA multicore tuning - parallelises over draws.
ebma_mc_tol | EBMA multicore tuning - parallelises over tolerance values.
error_checks | Catches user input errors
f1_score | Estimates the inverse f1 score, i.e. 0 is the best score and 1 the worst.
gb_classifier | GB classifier
gb_classifier_update | GB classifier update
lasso_classifier | Lasso classifier
log_spaced | Sequence that is equally spaced on the log scale
loss_function | Estimates loss value.
loss_score_ranking | Ranks tuning parameters according to loss functions
mean_absolute_error | Estimates the mean absolute prediction error.
mean_squared_error | Estimates the mean squared prediction error.
mean_squared_false_error | Estimates the mean squared false error.
model_list | A list of models for the best subset selection.
model_list_pca | A list of models for the best subset selection with PCA.
multicore | Register cores for multicore computing
output_table | A table for the summary function
plot.autoMrP | A plot method for autoMrP objects. Plots unit-level preference estiamtes.
post_stratification | Apply post-stratification to classifiers.
predict_glmmLasso | Predicts on newdata from glmmLasso objects
quiet | Suppress cat in external package
run_best_subset | Apply best subset classifier to MrP.
run_best_subset_mc | Best subset multicore tuning.
run_classifiers | Optimal individual classifiers
run_gb | Apply gradient boosting classifier to MrP.
run_gb_mc | GB multicore tuning.
run_lasso | Apply lasso classifier to MrP.
run_lasso_mc_lambda | Lasso multicore tuning.
run_pca | Apply PCA classifier to MrP.
run_svm | Apply support vector machine classifier to MrP.
run_svm_mc | SVM multicore tuning.
summary.autoMrP | A summary method for autoMrP objects.
survey_item | A sample of a survey item from the CCES 2008
svm_classifier | SVM classifier
taxes_census | Quasi census data.
taxes_survey | Sample on raising taxes from the 2008 National Annenberg Election Studies.