Package: epilogi 1.1
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. <doi:10.1093/bioinformatics/btad545>.
Authors:
epilogi_1.1.tar.gz
epilogi_1.1.tar.gz(r-4.5-noble)epilogi_1.1.tar.gz(r-4.4-noble)
epilogi_1.1.tgz(r-4.4-emscripten)epilogi_1.1.tgz(r-4.3-emscripten)
epilogi.pdf |epilogi.html✨
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 2 months agofrom:604779a371. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 11 2024 |
| R-4.5-linux | OK | Oct 11 2024 |
Exports:epilogipcor.equiv
Dependencies:RcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfast
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 |