Sorted L1 Penalized Estimation

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Documentation for package ‘SLOPE’ version 2.0.0

• 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.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