Package: islasso
Type: Package
Title: The Induced Smoothed Lasso
Version: 1.6.0
Date: 2025-07-30
Authors@R: c(person("Gianluca", "Sottile", role=c("aut", "cre"), email = "gianluca.sottile@unipa.it"),
	     person("Giovanna", "Cilluffo", role=c("aut", "ctb")),
	     person("Vito MR", "Muggeo", role=c("aut", "ctb")))
Depends: glmnet (>= 4.0), R (>= 4.1.0)
Imports: stats, utils, graphics, cli, gridExtra, ggplot2
Suggests: knitr, lars, xfun, rmarkdown, roxygen2
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 <doi:10.1177/0962280219842890> and discussed in a tutorial <doi:10.13140/RG.2.2.16360.11521>.
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 7.3.2
NeedsCompilation: yes
Author: Gianluca Sottile [aut, cre],
  Giovanna Cilluffo [aut, ctb],
  Vito MR Muggeo [aut, ctb]
Maintainer: Gianluca Sottile <gianluca.sottile@unipa.it>
LazyLoad: yes
Repository: CRAN
Packaged: 2025-07-31 12:32:13 UTC; gianlucasottile
Date/Publication: 2025-07-31 12:50:02 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2025-10-08 02:36:42 UTC; windows
Archs: x64
