Sequence that is equally spaced on the log scale
EBMA multicore tuning - parallelises over tolerance values.
GB classifier
Estimates loss value.
EBMA multicore tuning - parallelises over draws.
GB classifier update
Generates data fold to be used for EBMA tuning
Lasso classifier
Estimates the inverse f1 score, i.e. 0 is the best score and 1 the worst.
Catches user input errors
Estimates the mean squared prediction error.
Register cores for multicore computing
A plot method for autoMrP objects. Plots unit-level preference estiamtes.
Estimates the mean squared false error.
A list of models for the best subset selection.
Apply post-stratification to classifiers.
A list of models for the best subset selection with PCA.
A table for the summary function
Ranks tuning parameters according to loss functions
Estimates the mean absolute prediction error.
GB multicore tuning.
Suppress cat in external package
Apply best subset classifier to MrP.
Predicts on newdata from glmmLasso objects
Lasso multicore tuning.
Optimal individual classifiers
Apply lasso classifier to MrP.
Apply gradient boosting classifier to MrP.
Best subset multicore tuning.
Apply PCA classifier to MrP.
SVM classifier
SVM multicore tuning.
Apply support vector machine classifier to MrP.
A summary method for autoMrP objects.
Quasi census data.
Sample on raising taxes from the 2008 National Annenberg Election Studies.
A sample of a survey item from the CCES 2008
Deep MrP classifier
Generates folds for cross-validation
Estimates the inverse binary cross-entropy, i.e. 0 is the best score and 1
the worst.
Quasi census data.
Bayesian Ensemble Model Averaging EBMA
Best subset classifier
Bootstrappinng wrapper for auto_mrp
Quasi census data.
A sample of the absentee voting item from the CCES 2008
Improve MrP through ensemble learning.