autoMrP1.0.6 package

Improve MrP through ensemble learning.

Best subset classifier

Estimates the inverse binary cross-entropy, i.e. 0 is the best score a...

Bootstrappinng wrapper for auto_mrp

Generates folds for cross-validation

Deep MrP classifier

Predicts on newdata from glmmLasso objects

Suppress cat in external package

GB multicore tuning.

Estimates the mean absolute prediction error.

Estimates the mean squared prediction error.

Estimates the mean squared false error.

Bayesian Ensemble Model Averaging EBMA

Generates data fold to be used for EBMA tuning

EBMA multicore tuning - parallelises over draws.

EBMA multicore tuning - parallelises over tolerance values.

Catches user input errors

Estimates the inverse f1 score, i.e. 0 is the best score and 1 the wor...

GB classifier

GB classifier update

Lasso classifier

Sequence that is equally spaced on the log scale

Estimates loss value.

Ranks tuning parameters according to loss functions

A list of models for the best subset selection.

A list of models for the best subset selection with PCA.

Register cores for multicore computing

A table for the summary function

A plot method for autoMrP objects. Plots unit-level preference estiamt...

Apply post-stratification to classifiers.

Apply best subset classifier to MrP.

Best subset multicore tuning.

Optimal individual classifiers

Apply gradient boosting classifier to MrP.

Apply lasso classifier to MrP.

Lasso multicore tuning.

Apply PCA classifier to MrP.

Apply support vector machine classifier to MrP.

SVM multicore tuning.

A summary method for autoMrP objects.

SVM classifier