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.
