Man pages for autoMrP
Improving MrP with Ensemble Learning

absentee_censusQuasi census data.
absentee_votingA sample of the absentee voting item from the CCES 2008
auto_MrPImprove MrP through ensemble learning.
best_subset_classifierBest subset classifier
binary_cross_entropyEstimates the inverse binary cross-entropy, i.e. 0 is the...
boot_auto_mrpBootstrappinng wrapper for auto_mrp
censusQuasi census data.
cv_foldingGenerates folds for cross-validation
deep_mrp_classifierDeep MrP classifier
ebmaBayesian Ensemble Model Averaging EBMA
ebma_foldingGenerates data fold to be used for EBMA tuning
ebma_mc_drawsEBMA multicore tuning - parallelises over draws.
ebma_mc_tolEBMA multicore tuning - parallelises over tolerance values.
error_checksCatches user input errors
f1_scoreEstimates the inverse f1 score, i.e. 0 is the best score and...
gb_classifierGB classifier
gb_classifier_updateGB classifier update
lasso_classifierLasso classifier
log_spacedSequence that is equally spaced on the log scale
loss_functionEstimates loss value.
loss_score_rankingRanks tuning parameters according to loss functions
mean_absolute_errorEstimates the mean absolute prediction error.
mean_squared_errorEstimates the mean squared prediction error.
mean_squared_false_errorEstimates the mean squared false error.
model_listA list of models for the best subset selection.
model_list_pcaA list of models for the best subset selection with PCA.
multicoreRegister cores for multicore computing
output_tableA table for the summary function
plot.autoMrPA plot method for autoMrP objects. Plots unit-level...
post_stratificationApply post-stratification to classifiers.
predict_glmmLassoPredicts on newdata from glmmLasso objects
quietSuppress cat in external package
run_best_subsetApply best subset classifier to MrP.
run_best_subset_mcBest subset multicore tuning.
run_classifiersOptimal individual classifiers
run_gbApply gradient boosting classifier to MrP.
run_gb_mcGB multicore tuning.
run_lassoApply lasso classifier to MrP.
run_lasso_mc_lambdaLasso multicore tuning.
run_pcaApply PCA classifier to MrP.
run_svmApply support vector machine classifier to MrP.
run_svm_mcSVM multicore tuning.
summary.autoMrPA summary method for autoMrP objects.
survey_itemA sample of a survey item from the CCES 2008
svm_classifierSVM classifier
taxes_censusQuasi census data.
taxes_surveySample on raising taxes from the 2008 National Annenberg...
autoMrP documentation built on May 29, 2024, 6:40 a.m.