The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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>.

Version: 1.5.2
Depends: glmnet (≥ 4.0), Matrix (≥ 1.0-6), R (≥ 4.0.0)
Imports: stats, utils, graphics
Suggests: knitr, lars, xfun, rmarkdown
Published: 2024-01-23
DOI: 10.32614/CRAN.package.islasso
Author: Gianluca Sottile [aut, cre], Giovanna Cilluffo [aut, ctb], Vito MR Muggeo [aut, ctb]
Maintainer: Gianluca Sottile <gianluca.sottile at unipa.it>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: islasso citation info
Materials: NEWS
In views: MachineLearning
CRAN checks: islasso results

Documentation:

Reference manual: islasso.pdf

Downloads:

Package source: islasso_1.5.2.tar.gz
Windows binaries: r-devel: islasso_1.5.2.zip, r-release: islasso_1.5.2.zip, r-oldrel: islasso_1.5.2.zip
macOS binaries: r-release (arm64): islasso_1.5.2.tgz, r-oldrel (arm64): islasso_1.5.2.tgz, r-release (x86_64): islasso_1.5.2.tgz, r-oldrel (x86_64): islasso_1.5.2.tgz
Old sources: islasso archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=islasso to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.