R Observatory: Metrics for DebiasInfer version 0.2.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

DebiasInfer

0.2.1Package record

Efficient Inference on High-Dimensional Linear Model with Missing Outcomes

0packages depend

39.9Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Yikun ZhangCRAN page ↗GitHub ↗Issues ↗

A statistically and computationally efficient debiasing method for conducting valid inference on the high-dimensional linear regression function with missing outcomes. The reference paper is Zhang, Giessing, and Chen (2023) doi:10.48550/arXiv.2309.06429.

Install

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

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

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

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("zhangyk8/Debias-Infer")

Development version from zhangyk8/Debias-Infer. Installs pak first if it is not already available.

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-debiasinfer

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-DebiasInfer

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-DebiasInfer

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: 2.8 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK13 OK2026-05-02

Show 3 earlier changesHide 3 earlier changes

ERROR11 OK, 1 ERROR2026-04-25
OK14 OK2026-03-18
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.1

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 5
Examples that run: 20%1 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 80%

How these are measured

Downloads

39.9K

CRAN downloads in the past year

Rank #9,925 · ~109/day · ~3.3K/mo

Releases R versions

Daily download trend is not available in this view yet.

42830 days

1K90 days

39.9K1 year

Compare downloads with other packages →

Also on89 r2u6 autocran

How downloads are counted

Repository

zhangyk8/debias-infer ↗Account: zhangyk8

0Stars

0Forks

0Open issues

0Open PRs

2Releases

192Commits

1Commit identities

coordinate-descenthigh-dimensional-inferencemissing-data

License file reads as MIT · 192 commits · Last activity 2026-09-10

Responsiveness

not measured

Releases over time

2023-09-09 · 22026-07-07 · 2

How these are measured

PracticesBeta

Checks run against github.com/zhangyk8/debias-infer on 2026-10-22.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Installing DebiasInfer adds 73 packages (44 with compiled code, 61 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, clarabel 5.7 MB.

Depends (0)

none

Imports (3)

CVXR caretstats

LinkingTo (0)

none

Suggests (2)

MASSglmnet

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (3)

Yikun Zhang

Author, Maintainer since 0.1 (2023)

Yen-Chi Chen

Author

Alexander Giessing

Author

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.2.1Latest
record
2026-03-13 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
0.2
record
2023-10-09 · diff ↗
0.1
record
2023-09-14
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2023-09-14
Total releases: 3 / 3 yrs
License: MIT + file LICENSE OSI
Download size: 7.1 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("DebiasInfer")

Format

Zhang, Y., Chen, Y., & Giessing, A. (2026). DebiasInfer: Efficient Inference on High-Dimensional Linear Model with Missing Outcomes (Version 0.2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.DebiasInfer

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for DebiasInfer version 0.2.1 [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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