Package: TSGSIS 0.1

Yao-Hwei Fang

TSGSIS: Two Stage-Grouped Sure Independence Screening

To provide a high dimensional grouped variable selection approach for detection of whole-genome SNP effects and SNP-SNP interactions, as described in Fang et al. (2017, under review).

Authors:Yao-Hwei Fang, Jie-Huei Wang, and Chao A. Hsiung

TSGSIS_0.1.tar.gz
TSGSIS_0.1.tar.gz(r-4.7-any)TSGSIS_0.1.tar.gz(r-4.6-any)
TSGSIS_0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
TSGSIS/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 stars 1 scripts 182 downloads 1 exports 11 dependencies

Last updated from:2d345b2eeb. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK120
source / vignettesOK144
linux-release-x86_64OK112
wasm-releaseOK99

Exports:TSGSIS

Dependencies:codetoolsforeachglmnetiteratorslatticeMASSMatrixRcppRcppEigenshapesurvival