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