Package: epilogi 1.2
Michail Tsagris
epilogi: The 'epilogi' Variable Selection Algorithm for Continuous Data
The 'epilogi' variable selection algorithm is implemented for the case of continuous response and predictor variables. The relevant paper is: Lakiotaki K., Papadovasilakis Z., Lagani V., Fafalios S., Charonyktakis P., Tsagris M. and Tsamardinos I. (2023). "Automated machine learning for Genome Wide Association Studies". Bioinformatics, 39(9): btad545. <doi:10.1093/bioinformatics/btad545>.
Authors:
epilogi_1.2.tar.gz
epilogi_1.2.tar.gz(r-4.7-any)epilogi_1.2.tar.gz(r-4.6-any)
epilogi_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
epilogi/json (API)
| # Install 'epilogi' in R: |
| install.packages('epilogi', 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 from:860b888d7d. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 118 | ||
| source / vignettes | OK | 160 | ||
| linux-release-x86_64 | OK | 160 | ||
| wasm-release | OK | 107 |
Exports:epilogipcor.equiv
Dependencies:RcppRcppArmadilloRcppParallelRfastzigg
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The 'epilogi' Variable Selection Algorithm for Continuous Data. | epilogi-package |
| The epilogi Variable Selection Algorithm for Continuous Data. | epilogi |
| Equivalence test using partial correlation | pcor.equiv |