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✨
DESCRIPTION |NEWS
card.svg |card.png
islasso/json (API)

# 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:

openblas fortran

4.30 score 6 scripts 362 downloads 9 exports 28 dependencies

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

Target	Result	Time
linux-devel-arm64	OK	221
linux-devel-x86_64	OK	171
source / vignettes	OK	245
linux-release-arm64	OK	161
linux-release-x86_64	OK	160
macos-release-arm64	OK	122
macos-release-x86_64	OK	363
macos-oldrel-arm64	OK	115
macos-oldrel-x86_64	OK	367
windows-devel	OK	145
windows-release	OK	139
windows-oldrel	OK	136
wasm-release	OK	117

Exports:aic.islasso GoF.islasso.path is.control islasso islasso.fit islasso.path islasso.path.fit relax.islasso simulXy

Dependencies:cli codetools cpp11 farver foreach ggplot2 glmnet glue gridExtra gtable isoband iterators labeling lattice lifecycle Matrix R6 RColorBrewer Rcpp RcppEigen rlang S7 scales shape survival vctrs viridisLite withr

An Introduction to islasso

Abstract | Introduction | The R functions | A worked example: the Prostate data set | References

Rendered fromislasso-intro.Rmdusingknitr::rmarkdown

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

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Optimization for Lambda Selection	aic.islasso
General Linear Hypotheses for islasso Models	anova.islasso print.anova.islasso
Breast Cancer microarray experiment	breast
confint method for 'islasso' objects	confint.islasso plot.confint.islasso print.confint.islasso
Blood and other measurements in diabetics	diabetes
Select Optimal Lambda via Goodness-of-Fit Criteria	GoF.islasso.path
Control Settings for islasso Model Fitting	is.control
The Induced Smoothed Lasso: A practical framework for hypothesis testing in high dimensional regression	islasso-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 Path	coef.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 Models	plot.islasso
Coefficient Profile and Diagnostic Plots for islasso.path	plot.islasso.path
Prediction Method for islasso Objects	predict.islasso
Prediction Method for islasso.path Objects	predict.islasso.path
Prostate Cancer Data	Prostate
Relaxed islasso model fitting	relax.islasso
Simulate Model Matrix and Response Vector	simulXy
Summarize islasso Fitted Model	print.summary.islasso summary.islasso
Summarize islasso.path Model at Specific Lambda	print.summary.islasso.path summary.islasso.path