Package index • sglasso

Fit and select

Regularization paths and cross-validation for prespecified groups.

sglasso(): Fit a scaled group lasso regression path
cv.sglasso(): Cross-validation for scaled group lasso
select(): Select tuning parameters
select(<sglasso>): Select tuning parameters for sglasso
logLik(<sglasso>): Log-likelihood for sglasso

Predict and extract

predict(<sglasso>): Predict method for sglasso objects
transform_sglasso_betas(): Extract coefficients from a fitted sglasso object

Binary-response implementation

sglasso-binomial: Logistic SGLASSO for binary responses

Data and verified loaders

GenAtHum: Gene Atlas Human (GenAtHum) Data
CoRSIVSZ: CoRSIVSZ: grouped methylation measurements for schizophrenia classification
load_CoRSIVSZ(): Load the CoRSIVSZ methylation dataset
download_CoRSIVSZ(): Download the separately distributed CoRSIVSZ dataset

Numerical diagnostics

benchmark_sglasso_screen_rules(): Benchmark SGLASSO Screening Rules

Package overview

sglasso-package: sglasso: Scaled Group Lasso