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itdr

2.0.1

Integral Transformation Methods for SDR in Regression

0packages depend
3.1Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Tharindu P. De AlwisFirst published 2021-07-234 releasesCRAN page ↗

The itdr() routine allows for the estimation of sufficient dimension reduction subspaces in univariate regression such as the central mean subspace or central subspace in regression. This is achieved using Fourier transformation methods proposed by Zhu and Zeng (2006) doi:10.1198/016214506000000140, convolution transformation methods proposed by Zeng and Zhu (2010) doi:10.1016/j.jmva.2009.08.004, and iterative Hessian transformation methods proposed by Cook and Li (2002) doi:10.1214/aos/1021379861. Additionally, mitdr() function provides optimal estimators for sufficient dimension reduction subspaces in multivariate regression by optimizing a discrepancy function using a Fourier transform approach proposed by Weng and Yin (2022) doi:10.5705/ss.202020.0312, and selects the sufficient variables using Fourier transform sparse inverse regression estimators proposed by Weng (2022) doi:10.1016/j.csda.2021.107380.

Install

Health

CRAN checks
13OK
Slowest check: 16.2 min · r-release-macos-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
7
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
50%
Documented parameters
99%
Return-value docs
100%
References docs
64%

Downloads

3.1K
CRAN downloads in the past year
Rank #11,075 · ~9/day · ~262/mo
Daily download trend is not available in this view yet.
29330 days
89790 days
3.1K1 year
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Also on379 r2u15 autocran

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (7)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Contributor, Author
Contributor, Author · added in 2.0.0
Contributors (2)
Contributor, Author
Contributor, Author · added in 2.0.0
Package Timeline

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

  • 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
  • 2.0.1Latest
    2024-02-26 · current release · diff ↗
  • 2.0.0
    2023-06-23 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 1.2.0
    2022-04-12 · diff ↗
  • 1.0
    2021-07-23
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-07-23
Total releases
4 / 5 yrs
License
GPL-2 | GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
971 KB / 5 files
Download size
1.0 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("itdr")
P. De Alwis, T., Samadi, S. Y., & Weng, J. (2024). itdr: Integral Transformation Methods for SDR in Regression (Version 2.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.itdr

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 itdr version 2.0.1 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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