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LRMiss

0.0.1Package record

Linear Regression with Missing Data

0packages depend
1.5Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Provides methods for linear regression in the presence of missing data, including missingness in covariates and responses. The package implements two estimators: oss_estimator(), a low-dimensional semi-supervised method, and dantzig_missing(), a high-dimensional approach. The tuning parameter can be selected automatically via cv_dantzig_missing(). See Risebrow and Berrett (2026) doi:10.48550/arXiv.2602.13729. Optional support for the 'gurobi' optimizer via the 'gurobi' R package (available from Gurobi, see https://docs.gurobi.com/projects/optimizer/en/current/reference/r.html).

Install

Health

CRAN checks
13OK
Slowest check: 53 s · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK12 OK2026-04-25
Show 1 earlier changeHide 1 earlier change
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.0.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
4
Examples that run
100%4 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
75% with a bibliography file

Downloads

1.5K
CRAN downloads in the past year
Rank #22,832 · ~4/day · ~123/mo
Daily download trend is not available in this view yet.
25230 days
56790 days
1.5K1 year
Compare downloads with other packages →
Also on46 r2u9 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2026-02-17
Responsiveness
not measured
PracticesBeta

Checks run against github.com/benrisebrow/lrmiss on 2026-10-11.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing LRMiss adds 18 packages (12 with compiled code, 22 MB of source tarballs). Heaviest: stringi 11 MB, data.table 5.7 MB, rbibutils 1.1 MB.

Depends (0)
none
Imports (5)
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 0.0.1 (2026)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • 0.0.1Latest
    2026-02-20 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-02-20
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Download size
32 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LRMiss")
Risebrow, B., & Berrett, T. (2026). LRMiss: Linear Regression with Missing Data (Version 0.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.LRMiss

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 LRMiss version 0.0.1 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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