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This package was removed from CRAN on 2022-11-28. Its history is shown below.
Reason: the request of the maintainer
Details below reflect version 0.1.1, its last release before removal.

nsdr

0.1.1

Nonlinear Sufficient Dimension Reduction

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Overview

About
Maintained by Kyongwon Kim2 releasesCRAN page ↗

Provides tools to implement both unsupervised and supervised nonlinear dimension reduction methods. Principal Component Analysis (PCA), Sliced Inverse Regression (SIR), and Sliced Average Variance Estimation (SAVE) are useful methods to reduce the dimensionality of covariates. However, they produce linear combinations of covariates. Kernel PCA, generalized SIR, and generalized SAVE address this problem by extending the applicability of the dimension reduction problem to nonlinear settings. This package includes a comprehensive algorithm for kernel PCA, generalized SIR, and generalized SAVE, including methods for choosing tuning parameters and some essential functions.

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Health

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Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
0
Dependencies · direct

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
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Downloads

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Also on61 r2u16 autocran

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (0)
none
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
indirect (not tracked)

Nothing depends on this yet.

Code & Tests

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People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Author
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.3.0 released · 2023-04-21
  • archivedRemoved from CRAN
    2022-11-28
    the request of the maintainer
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.1
    2021-06-03 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.0
    2021-05-11
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

Total releases
2
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Bundled data
217 KB / 3 files
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("nsdr")
Li, B., & Kim, K. (n.d.). nsdr: Nonlinear Sufficient Dimension Reduction (Version 0.1.1) [Computer software]. Retrieved August 13, 2026, from https://CRAN.R-project.org/package=nsdr

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 nsdr version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-08-13. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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