CRAN/E | islasso

islasso

The Induced Smoothed Lasso

Installation

About

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.

Citation islasso citation info

Key Metrics

Version 1.5.2
R ≥ 4.0.0
Published 2024-01-23 66 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks islasso results

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Maintainer

Maintainer

Gianluca Sottile

gianluca.sottile@unipa.it

Authors

Gianluca Sottile

aut / cre

Giovanna Cilluffo

aut / ctb

Vito MR Muggeo

aut / ctb

Material

NEWS
Reference manual
Package source

In Views

MachineLearning

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

islasso archive

Depends

glmnet ≥ 4.0
Matrix ≥ 1.0-6
R ≥ 4.0.0

Imports

stats
utils
graphics

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