Improving MrP with Ensemble Learning

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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.