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islasso (version 1.6.0)

The Induced Smoothed Lasso

Description

An implementation of the induced smoothing (IS) idea to lasso regularization models to allow estimation and inference on the model coefficients (currently hypothesis testing only). Linear, logistic, Poisson and gamma regressions with several link functions are implemented. The algorithm is described in the original paper; see and discussed in a tutorial .

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Version

Install

install.packages('islasso')

Monthly Downloads

371

Version

1.6.0

License

GPL (>= 2)

Maintainer

Gianluca Sottile

Last Published

July 31st, 2025

Functions in islasso (1.6.0)

simulXy

Simulate Model Matrix and Response Vector
plot.islasso.path

Coefficient Profile and Diagnostic Plots for islasso.path
predict.islasso.path

Prediction Method for islasso.path Objects
summary.islasso.path

Summarize islasso.path Model at Specific Lambda
summary.islasso

Summarize islasso Fitted Model
islasso.path

Induced Smoothed Lasso Regularization Path
plot.islasso

Diagnostic Plots for islasso Models
predict.islasso

Prediction Method for islasso Objects
confint.islasso

confint method for islasso objects
islasso-internal

Internal Functions
is.control

Control Settings for islasso Model Fitting
GoF.islasso.path

Select Optimal Lambda via Goodness-of-Fit Criteria
anova.islasso

General Linear Hypotheses for islasso Models
aic.islasso

Optimization for Lambda Selection
Prostate

Prostate Cancer Data
breast

Breast Cancer microarray experiment
islasso

The Induced Smoothed Lasso: A practical framework for hypothesis testing in high dimensional regression
diabetes

Blood and other measurements in diabetics