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This package was removed from CRAN on 2026-05-04. Its history is shown below.
Reason: email to the maintainer is undeliverable
Details below reflect version 0.5, its last release before removal.

Rank-Based Estimation and Prediction in Random Effects Nested Models

0packages depend
12Kdownloads / year
–test coverage
–flavors OK

Overview

About

Estimates robust rank-based fixed effects and predicts robust random effects in two- and three- level random effects nested models. The methodology is described in Bilgic & Susmann (2013) https://journal.r-project.org/archive/2013/RJ-2013-027/.

Changes in 0.5
  • Added a NEWS.md file to track changes to the package.
  • Cleaned up package to pass R cmd check on R 3.4.3

From NEWS.md in the release

Install

Health

CRAN checks

CRAN check results are not tracked yet.

Status changes
  • NOTE12 OK, 2 NOTE2026-04-22
  • ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.5
READMEYes · 15 wordsVignettesNoNEWSYes · 67% structured · mentions 0.5Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
26includes a package overview page
Examples that run
64%7 run in a plain check · 4 hold no code
Exported functions with examples
33%
Documented parameters
100%
Return-value docs
48%
Help pages citing references
54%

Downloads

12K
CRAN downloads in the past year
Rank #25,730 · ~33/day · ~997/mo
Daily download trend is not available in this view yet.
Also on349 r2u3 autocran104 c2d4u

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (11)
MASSquantregnlmemgcvstringrmagicrobustbaseRcppstatsutilsgraphics
LinkingTo (1)
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
–indirect (not tracked)

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Contributor
Contributor
Contributor · added in 0.2

Maintainer since 0.1 (2013)

Releases (5)

Pick two releases to compare their code metrics.

  • archivedRemoved from CRAN
    2026-05-04
    email to the maintainer is undeliverable
  • 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
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • unarchivedReturned to CRAN
    2018-01-09
  • 0.5
    record
    2018-01-09 · diff ↗ ·
    removed 2 exports
    summary.rlme, plot.rlme
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • archivedRemoved from CRAN
    2015-09-01
    check problems were not corrected despite reminders
  • R
    R 3.2.0 released · 2015-04-16
Show 7 earlier eventsHide 7 earlier events
  • 0.4
    record
    2014-06-10 · diff ↗
  • 0.3
    record
    2014-05-25 · diff ↗ ·
    added 2 exports
    minimize_dispersion, lmr
  • R
    R 3.1.0 released · 2014-04-10
  • 0.2
    record
    2013-07-22 · diff ↗
  • R
    R 3.0.0 released · 2013-04-03
  • 0.1
    record
    2013-02-06
  • R
    R 2.15.0 released · 2012-03-30

Package metadata

First published
2013-02-06
Total releases
5 / 13 yrs
License
GPL (>= 2) OSI
Bundled data
21 KB / 2 files
Download size
73 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("rlme")
Bilgic, Y., Susmann, H., & McKean, J. (n.d.). rlme: Rank-Based Estimation and Prediction in Random Effects Nested Models (Version 0.5) [Computer software]. Retrieved October 24, 2026, from https://CRAN.R-project.org/package=rlme

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 rlme version 0.5 [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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