Package: sprintr 0.9.0

Guo Yu

sprintr: Sparse Reluctant Interaction Modeling

An implementation of a computationally efficient method to fit large-scale interaction models based on the reluctant interaction selection principle. The method and its properties are described in greater depth in Yu, G., Bien, J., and Tibshirani, R.J. (2019) "Reluctant interaction modeling", which is available at <arxiv:1907.08414>.

Authors:Guo Yu [aut, cre]

sprintr_0.9.0.tar.gz
sprintr_0.9.0.tar.gz(r-4.5-noble)sprintr_0.9.0.tar.gz(r-4.4-noble)
sprintr_0.9.0.tgz(r-4.4-emscripten)sprintr_0.9.0.tgz(r-4.3-emscripten)
sprintr.pdf |sprintr.html
sprintr/json (API)
NEWS

# Install 'sprintr' in R:
install.packages('sprintr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hugogogo/sprintr/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

openblascpp

2.70 score 7 scripts 130 downloads 3 exports 11 dependencies

Last updated 6 years agofrom:0ee2e51ea6. Checks:1 OK, 1 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 26 2025
R-4.5-linux-x86_64NOTEFeb 26 2025

Exports:cv.sprinterscreen_cppsprinter

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppArmadilloRcppEigenshapesurvival

Using the sprintr package

Rendered fromsprintr-vignette.Rmdusingknitr::rmarkdownon Feb 26 2025.

Last update: 2019-08-24
Started: 2019-08-24