Package: regnet 1.0.2
Jie Ren
regnet: Network-Based Regularization for Generalized Linear Models
Network-based regularization has achieved success in variable selection for high-dimensional biological data due to its ability to incorporate correlations among genomic features. This package provides procedures of network-based variable selection for generalized linear models (Ren et al. (2017) <doi:10.1186/s12863-017-0495-5> and Ren et al.(2019) <doi:10.1002/gepi.22194>). Continuous, binary, and survival response are supported. Robust network-based methods are available for continuous and survival responses.
Authors:
regnet_1.0.2.tar.gz
regnet_1.0.2.tar.gz(r-4.7-arm64)regnet_1.0.2.tar.gz(r-4.7-x86_64)regnet_1.0.2.tar.gz(r-4.6-arm64)regnet_1.0.2.tar.gz(r-4.6-x86_64)
regnet_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
regnet/json (API)
NEWS
| # Install 'regnet' in R: |
| install.packages('regnet', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jrhub/regnet/issues
Last updated from:77c400d7db. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 184 | ||
| linux-devel-x86_64 | OK | 168 | ||
| source / vignettes | OK | 243 | ||
| linux-release-arm64 | OK | 184 | ||
| linux-release-x86_64 | OK | 180 | ||
| wasm-release | OK | 151 |
Dependencies:clicodetoolscpp11foreachglmnetglueigraphiteratorslatticelifecyclemagrittrMatrixpkgconfigRcppRcppArmadilloRcppEigenrlangshapesurvivalvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| regnet: Network-Based Regularization for Generalized Linear Models | regnet-package |
| k-folds cross-validation for regnet | cv.regnet |
| plot a regnet object | plot.regnet |
| print a cv.regnet object | print.cv.regnet |
| print a regnet object | print.regnet |
| fit a regression for given lambda with network-based regularization | regnet |
| Example datasets for demonstrating the features of regnet | rgn rgn.htr rgn.logi rgn.surv rgn.tcga |
