Man pages for autoMrP
Improving MrP with Ensemble Learning
| 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... |
| 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... |
| 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... |
| 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... |
