# Generalized Linear Models Regularized with the Sorted L1-Norm

## Documentation for package ‘owl’ version 0.1.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

abalone | Abalone
bodyfat | Bodyfat
caretSlopeOwl | Model objects for model tuning with caret
coef.Owl | Obtain coefficients
deviance.Owl | Model deviance
heart | Heart disease
owl | Generalized linear models regularized with the SLOPE (OWL) norm
plot.Owl | Plot coefficients
plot.TrainedOwl | Plot results from cross-validation
plotDiagnostics | Plot results from diagnostics collected during model fitting
predict.Owl | Generate predictions from owl models
predict.OwlBinomial | Generate predictions from owl models
predict.OwlGaussian | Generate predictions from owl models
predict.OwlMultinomial | Generate predictions from owl models
predict.OwlPoisson | Generate predictions from owl models
print.Owl | Print results from owl fit
print.TrainedOwl | Print results from owl fit
score | Compute one of several loss metrics on a new data set
score.OwlBinomial | Compute one of several loss metrics on a new data set
score.OwlGaussian | Compute one of several loss metrics on a new data set
score.OwlMultinomial | Compute one of several loss metrics on a new data set
score.OwlPoisson | Compute one of several loss metrics on a new data set
student | Student performance
trainOwl | Train a owl model
wine | Wine cultivars