The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
A variable selection procedure, dubbed KKO, for nonparametric additive model with finite-sample false discovery rate control guarantee. The method integrates three key components: knockoffs, subsampling for stability, and random feature mapping for nonparametric function approximation. For more information, see the accompanying paper: Dai, X., Lyu, X., & Li, L. (2021). “Kernel Knockoffs Selection for Nonparametric Additive Models”. arXiv preprint <doi:10.48550/arXiv.2105.11659>.
| Version: | 1.0.1 |
| Depends: | R (≥ 3.6.3) |
| Imports: | grpreg, knockoff, doParallel, parallel, foreach, ExtDist |
| Suggests: | knitr, rmarkdown, ggplot2 |
| Published: | 2022-02-01 |
| DOI: | 10.32614/CRAN.package.kko |
| Author: | Xiaowu Dai [aut], Xiang Lyu [aut, cre], Lexin Li [aut] |
| Maintainer: | Xiang Lyu <xianglyu at berkeley.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | kko results |
| Reference manual: | kko.pdf |
| Vignettes: |
Vignette of R package kko |
| Package source: | kko_1.0.1.tar.gz |
| Windows binaries: | r-devel: kko_1.0.1.zip, r-release: kko_1.0.1.zip, r-oldrel: kko_1.0.1.zip |
| macOS binaries: | r-release (arm64): kko_1.0.1.tgz, r-oldrel (arm64): kko_1.0.1.tgz, r-release (x86_64): kko_1.0.1.tgz, r-oldrel (x86_64): kko_1.0.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=kko to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.