# Sorted L1 Penalized Estimation

## Documentation for package ‘SLOPE’ version 1.2.0

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

## Help Pages

abalone | Abalone
bodyfat | Bodyfat
coef.SLOPE | Obtain coefficients
cvSLOPE | Tune SLOPE with cross-validation
deviance.SLOPE | Model deviance
glioma | Glioma metabolomics
heart | Heart disease
plot.SLOPE | Plot coefficients
plot.TrainedSLOPE | Plot results from cross-validation
plotClusters | Plot cluster structure
plotDiagnostics | Plot results from diagnostics collected during model fitting
predict.BinomialSLOPE | Generate predictions from SLOPE models
predict.GaussianSLOPE | Generate predictions from SLOPE models
predict.MultinomialSLOPE | Generate predictions from SLOPE models
predict.PoissonSLOPE | Generate predictions from SLOPE models
predict.SLOPE | Generate predictions from SLOPE models
print.SLOPE | Print results from SLOPE fit
print.TrainedSLOPE | Print results from SLOPE fit
regularizationWeights | Generate Regularization (Penalty) Weights for SLOPE
score | Compute one of several loss metrics on a new data set
score.BinomialSLOPE | Compute one of several loss metrics on a new data set
score.GaussianSLOPE | Compute one of several loss metrics on a new data set
score.MultinomialSLOPE | Compute one of several loss metrics on a new data set
score.PoissonSLOPE | Compute one of several loss metrics on a new data set
SLOPE | Sorted L-One Penalized Estimation
sortedL1Prox | Sorted L1 Proximal Operator
student | Student performance
trainSLOPE | Train a SLOPE model
wine | Wine cultivars