R: Sorted L1 Penalized Estimation

# Sorted L1 Penalized Estimation

## Documentation for package ‘SLOPE’ version 2.1.0

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

## 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.summary_SLOPE | Print Summary of SLOPE Model
print.summary_TrainedSLOPE | Print Summary of TrainedSLOPE Model
print.TrainedSLOPE | Print Results from SLOPE Fit
refit | Refit SLOPE Model with Optimal Parameters
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
summary.SLOPE | Summarize SLOPE Model
summary.TrainedSLOPE | Summarize TrainedSLOPE Model
trainSLOPE | Train a SLOPE Model
wine | Wine Cultivars