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. |