CRAN/E | smurf

smurf

Sparse Multi-Type Regularized Feature Modeling

Installation

About

Implementation of the SMuRF algorithm of Devriendt et al. (2021) doi:10.1016/j.insmatheco.2020.11.010 to fit generalized linear models (GLMs) with multiple types of predictors via regularized maximum likelihood.

gitlab.com/TReynkens/smurf
Bug report File report

Key Metrics

Version 1.1.5
R ≥ 3.4
Published 2023-03-22 409 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks smurf results

Downloads

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Maintainer

Maintainer

Tom Reynkens

tomreynkens@hotmail.com

Authors

Tom Reynkens

aut / cre

Sander Devriendt

aut

Katrien Antonio

aut

Material

NEWS
Reference manual
Package source

Vignettes

Introduction to the smurf package

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

smurf archive

Depends

R ≥ 3.4

Imports

catdata
glmnet ≥ 4.0
graphics
MASS
Matrix
methods
mgcv
parallel
RColorBrewer
Rcpp ≥ 0.12.12
stats

Suggests

bookdown
knitr
rmarkdown
roxygen2 ≥ 6.0.0
testthat

LinkingTo

Rcpp
RcppArmadillo ≥ 0.8.300.1.0

Reverse Imports

airpart