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:
TSGSIS_0.1.tar.gz
TSGSIS_0.1.tar.gz(r-4.5-noble)TSGSIS_0.1.tar.gz(r-4.4-noble)
TSGSIS_0.1.tgz(r-4.4-emscripten)TSGSIS_0.1.tgz(r-4.3-emscripten)
TSGSIS.pdf |TSGSIS.html✨
TSGSIS/json (API)
# Install 'TSGSIS' in R: |
install.packages('TSGSIS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:2d345b2eeb. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 12 2024 |
R-4.5-linux | OK | Oct 12 2024 |
Exports:TSGSIS
Dependencies:codetoolsforeachglmnetiteratorslatticeMASSMatrixRcppRcppEigenshapesurvival
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Two Stage-Grouped Sure Independence Screening | TSGSIS |