R Observatory: Metrics for itdr version 2.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

itdr

2.0.1Package record

Integral Transformation Methods for SDR in Regression

0packages depend

3.3Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Tharindu P. De AlwisCRAN 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.

Changes in 2.0.1

New Features
Integrate all the multivariate sufficient dimension reduction methods in regression within the _mitdr()_ function.
Integrate _wh()_, _wx()_, and _wy()_ functions into a single function _hyperPara()_.
Enhancements
Integrate all the uni-variate sufficient dimension reduction methods in regression within the _itdr()_ function. The _itdr()_ function now facilitate to use Fourier transformation method (FM), Convolution Transformation method (CM), Iterative hessian transformation method (iht), and inverse Fourier transformation method (invFM).
Bug Fixes
Fixed the errors in _recumbent_ dataset.

From NEWS.md in the release

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("itdr", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-itdr

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-itdr

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-itdr

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 16.2 min · r-release-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.0.1

READMENoVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 2.0.1Citation fileYes · computed when R runs itWebsitenot declared in DESCRIPTION

Help pages: 11
Examples that run: 50%2 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran) · 1 never run
Exported functions with examples: 67%
Documented parameters: 99%
Return-value docs: 100%
Help pages citing references: 64%

Vignettes (1)

itdr-vignette HTML

How these are measured

Downloads

3.3K

CRAN downloads in the past year

Rank #10,662 · ~9/day · ~277/mo

Releases R versions

Daily download trend is not available in this view yet.

26630 days

98190 days

3.3K1 year

Compare downloads with other packages →

Also on351 r2u6 autocran

How downloads are counted

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Installing itdr adds 26 packages (16 with compiled code, 20 MB of source tarballs). Heaviest: stringi 11 MB, Rcpp 1.8 MB, vctrs 1.0 MB.

Depends (1)

R >= 3.5.0

Imports (7)

statsutilsMASSgeigen magic energy tidyr

LinkingTo (0)

none

Suggests (3)

knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (3)

Tharindu P. De Alwis

Author, Maintainer since 1.0 (2021)

S. Yaser Samadi

Contributor, Author

Jiaying Weng

Contributor, Author · added in 2.0.0

Releases (4)

Pick two releases to compare their code metrics.

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
record
2024-02-26 · current release · diff ↗ ·
removed 6 exports
admmft, fm_xire, invFM, wh, wx, wy

added 2 exports
hyperPara, mitdr
2.0.0
record
2023-06-23 · diff ↗ ·
added 2 exports
admmft, fm_xire
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
1.2.0
record
2022-04-12 · diff ↗
1.0
record
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

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("itdr")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for itdr version 2.0.1 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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