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xLLiM

2.3.1Package record

High Dimensional Locally-Linear Mapping

0packages dependsuggested by 1
25Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Provides a tool for non linear mapping (non linear regression) using a mixture of regression model and an inverse regression strategy. The methods include the GLLiM model (see Deleforge et al (2015) DOI:10.1007/s11222-014-9461-5) based on Gaussian mixtures and a robust version of GLLiM, named SLLiM (see Perthame et al (2016) DOI:10.1016/j.jmva.2017.09.009) based on a mixture of Generalized Student distributions. The methods also include BLLiM (see Blein--Nicolas et al (2024) DOI:10.1093/jrsssc/qlae012) which is an extension of GLLiM with a sparse block diagonal structure for large covariance matrices (particularly interesting for transcriptomic data).

Install

Health

CRAN checks
13OK
Slowest check: 3.0 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-10-20
  • ERROR12 OK, 1 ERROR2026-10-12
  • OK13 OK2026-10-09
  • ERROR12 OK, 1 ERROR2026-10-08
  • OK13 OK2026-08-04
Show 18 earlier changesHide 18 earlier changes
  • ERROR11 OK, 1 NOTE, 1 ERROR2026-08-01
  • OK13 OK2026-07-10
  • ERROR12 OK, 1 ERROR2026-07-04
  • OK13 OK2026-07-03
  • ERROR12 OK, 1 ERROR2026-06-27
  • OK13 OK2026-06-24
  • ERROR12 OK, 1 ERROR2026-06-22
  • OK13 OK2026-06-19
  • ERROR12 OK, 1 ERROR2026-06-17
  • OK13 OK2026-06-01
  • ERROR12 OK, 1 ERROR2026-05-28
  • OK13 OK2026-05-27
  • ERROR12 OK, 1 ERROR2026-05-24
  • OK13 OK2026-05-04
  • ERROR12 OK, 1 ERROR2026-04-28
  • OK14 OK2026-03-19
  • ERROR13 OK, 1 ERROR2026-03-12
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 2.3.1
READMEYes · 102 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
11includes a package overview page
Examples that run
82%9 run in a plain check · 2 hold no code
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
73%

Downloads

25K
CRAN downloads in the past year
Rank #2,736 · ~69/day · ~2.1K/mo
Daily download trend is not available in this view yet.
1.8K30 days
5.5K90 days
25K1 year
Compare downloads with other packages →
Also on85 r2u5 autocran

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)

Installing xLLiM adds 27 packages (13 with compiled code, 17 MB of source tarballs). Heaviest: igraph 4.8 MB, glmnet 2.7 MB, Rcpp 1.8 MB. 1 more not on CRAN is not measured.

Depends (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

Datasets

People & History

People (5)
Author, Maintainer since 1.0 (2016)
Author · added in 2.0
Author · added in 2.0
Releases (7)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 2.3.1Latest
    record
    2026-03-02 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 2.3
    record
    2023-10-27 · diff ↗ ·
    added 1 export
    preprocess_data
  • 2.2.1
    record
    2023-09-11 · diff ↗
  • 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
  • 2.2
    record
    2021-01-04 · diff ↗
  • 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
  • 2.1
    record
    2017-05-23 · diff ↗
  • 2.0
    record
    2017-05-16 · diff ↗ ·
    added 1 export
    bllim
  • R
    R 3.4.0 released · 2017-04-21
Show 2 earlier eventsHide 2 earlier events
  • 1.0
    record
    2016-12-05
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2016-12-05
Total releases
7 / 10 yrs
License
GPL (>= 2) OSI
Bundled data
54 KB / 3 files
Download size
92 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("xLLiM")
Perthame, E., Deleforge, A., Devijver, E., Forbes, F., & Gallopin, M. (2026). xLLiM: High Dimensional Locally-Linear Mapping (Version 2.3.1) [Computer software]. https://doi.org/10.32614/CRAN.package.xLLiM

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 xLLiM version 2.3.1 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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