Package: islasso 1.6.1

islasso: The Induced Smoothed Lasso

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 <doi:10.1177/0962280219842890> and discussed in a tutorial <doi:10.13140/RG.2.2.16360.11521>.

Authors:Gianluca Sottile [aut, cre], Giovanna Cilluffo [aut, ctb], Vito MR Muggeo [aut, ctb]

islasso_1.6.1.tar.gz
islasso_1.6.1.zip(r-4.7)islasso_1.6.1.zip(r-4.6)islasso_1.6.1.zip(r-4.5)
islasso_1.6.1.tgz(r-4.6-x86_64)islasso_1.6.1.tgz(r-4.6-arm64)islasso_1.6.1.tgz(r-4.5-x86_64)islasso_1.6.1.tgz(r-4.5-arm64)
islasso_1.6.1.tar.gz(r-4.7-arm64)islasso_1.6.1.tar.gz(r-4.7-x86_64)islasso_1.6.1.tar.gz(r-4.6-arm64)islasso_1.6.1.tar.gz(r-4.6-x86_64)
islasso_1.6.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
islasso/json (API)
NEWS

# Install 'islasso' in R:
install.packages('islasso', repos = c('https://gianluca-sottile.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/gianluca-sottile/islasso/issues

Pkgdown/docs site:https://gianluca-sottile.github.io

Uses libs:
  • openblas– Optimized BLAS
  • fortran– Runtime library for GNU Fortran applications
Datasets:
  • breast - Breast Cancer microarray experiment
  • diabetes - Blood and other measurements in diabetics
  • Prostate - Prostate Cancer Data

On CRAN:

Conda:

openblasfortran

3.60 score 5 scripts 352 downloads 9 exports 28 dependencies

Last updated from:97cd1869b0. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK198
linux-devel-x86_64OK213
source / vignettesOK186
linux-release-arm64OK159
linux-release-x86_64OK153
macos-release-arm64OK127
macos-release-x86_64OK234
macos-oldrel-arm64OK98
macos-oldrel-x86_64OK297
windows-develOK130
windows-releaseOK128
windows-oldrelOK137
wasm-releaseOK111

Exports:aic.islassoGoF.islasso.pathis.controlislassoislasso.fitislasso.pathislasso.path.fitrelax.islassosimulXy

Dependencies:clicodetoolscpp11farverforeachggplot2glmnetgluegridExtragtableisobanditeratorslabelinglatticelifecycleMatrixR6RColorBrewerRcppRcppEigenrlangS7scalesshapesurvivalvctrsviridisLitewithr

An Introduction to islasso

Gianluca Sottile, Giovanna Cilluffo, Vito M.R. Muggeo

Rendered fromislasso-intro.Rmdusingknitr::rmarkdownon May 13 2026.

Last update: 2025-08-02
Started: 2025-08-01

Readme and manuals

Help Manual

Help pageTopics
Optimization for Lambda Selectionaic.islasso
General Linear Hypotheses for islasso Modelsanova.islasso print.anova.islasso
Breast Cancer microarray experimentbreast
confint method for 'islasso' objectsconfint.islasso plot.confint.islasso print.confint.islasso
Blood and other measurements in diabeticsdiabetes
Select Optimal Lambda via Goodness-of-Fit CriteriaGoF.islasso.path
Control Settings for islasso Model Fittingis.control
The Induced Smoothed Lasso: A practical framework for hypothesis testing in high dimensional regressionislasso-package cooks.distance.islasso deviance.islasso extractAIC.islasso family.islasso formula.islasso influence.islasso islasso islasso.fit logLik.islasso model.frame.islasso model.matrix.islasso nobs.islasso print.islasso residuals.islasso rstandard.islasso rstudent.islasso variable.names.islasso vcov.islasso weights.islasso
Induced Smoothed Lasso Regularization Pathcoef.islasso.path deviance.islasso.path fitted.islasso.path islasso.path islasso.path.fit logLik.islasso.path model.matrix.islasso.path print.islasso.path print.logLik.islasso.path residuals.islasso.path
Diagnostic Plots for islasso Modelsplot.islasso
Coefficient Profile and Diagnostic Plots for islasso.pathplot.islasso.path
Prediction Method for islasso Objectspredict.islasso
Prediction Method for islasso.path Objectspredict.islasso.path
Prostate Cancer DataProstate
Relaxed islasso model fittingrelax.islasso
Simulate Model Matrix and Response VectorsimulXy
Summarize islasso Fitted Modelprint.summary.islasso summary.islasso
Summarize islasso.path Model at Specific Lambdaprint.summary.islasso.path summary.islasso.path