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Kernel Knockoffs Selection for Nonparametric Additive Models

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2.6Kdownloads / year
–test coverage
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Overview

About

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 arXiv:2105.11659.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Xiang Lyu <xianglyu@berkeley.edu>’

The Description field contains
  Nonparametric Additive Models”. arXiv preprint <arXiv:2105.11659>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

CRAN check page ↗

Slowest check: 2.1 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.1
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
6
Examples that run
100%6 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.6K
CRAN downloads in the past year
Rank #18,312 · ~7/day · ~216/mo
Daily download trend is not available in this view yet.
25730 days
70590 days
2.6K1 year
Compare downloads with other packages →
Also on50 r2u3 autocran

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing kko adds 18 packages (8 with compiled code, 13 MB of source tarballs). Heaviest: glmnet 2.7 MB, optimx 2.2 MB, nloptr 2.1 MB.

Depends (1)
R >= 3.6.3
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (3)
Author, Maintainer since 1.0.1 (2022)
Author
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0.1Latest
    2022-02-01 · current release
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2022-02-01
Total releases
1 / 4 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.6.3
Download size
38 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("kko")
Lyu, X., Dai, X., & Li, L. (2022). kko: Kernel Knockoffs Selection for Nonparametric Additive Models (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.kko

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for kko version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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