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lemur

Bioc current

Latent Embedding Multivariate Regression

v1.10.2 · software · MIT + file LICENSE

Release Lineage

Entered 3.18 · Oct 25, 2023

Current · Requires R 4.6

1.0 In 6 of 49 releases 3.23

Description

Fit a latent embedding multivariate regression (LEMUR) model to multi-condition single-cell data. The model provides a parametric description of single-cell data measured with treatment vs. control or more complex experimental designs. The parametric model is used to (1) align conditions, (2) predict log fold changes between conditions for all cells, and (3) identify cell neighborhoods with consistent log fold changes. For those neighborhoods, a pseudobulked differential expression test is conducted to assess which genes are significantly changed.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

121 6 exported

Complexity

4.6 avg / 48 max

Call network

121 nodes / 144 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

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Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

6,987

Files

92

Compiled share

2.9%

Has compiled src

Yes

Language breakdown

R 3,499 (50.1%)C/C++/src 203 (2.9%)Tests 1,858 (26.6%)Docs 981 (14%)Vignettes 446 (6.4%)

API

Exported functions

8

Internal functions

105

Testing & CI

Has tests

Yes

Test-to-code ratio

0.53

testthat edition

3

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

Unsafe pattern score

0

Dep constraint coverage

20%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.1

System requirements

C++ standard

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

6

First release

2023-12-06

Latest release

2026-04-28

Avg cadence

181 days

Cold removal rate

Dep drift

0

LOC over versions

v3.18: 6,564 LOCv3.19: 6,647 LOCv3.20: 6,857 LOCv3.21: 6,857 LOCv3.22: 6,857 LOCv3.23: 6,987 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

Documentation
READMEYes · 1,950 wordsVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
90%
Documented parameters
90%
Return-value docs
100%
References docs
8%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("lemur")
Ahlmann-Eltze, C. (2026). lemur: Latent Embedding Multivariate Regression (Version 1.10.2) [Computer software]. https://bioconductor.org/packages/lemur

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 lemur version 1.10.2 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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