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lemur

Bioc current

Latent Embedding Multivariate Regression

v1.10.2 · Package record · 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.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

126 6 exported

Complexity

4.5 avg / 48 max

Call network

126 nodes / 154 edges

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

Loading call graph…

Lowest coverage

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

Code

Structure

Lines of code

7,424

Files

80

Compiled share

2.7%

Has compiled src

Yes

Language breakdown

R 3,674 (49.5%)C/C++/src 203 (2.7%)Tests 2,030 (27.3%)Docs 1,073 (14.5%)Vignettes 444 (6%)

API

Exported functions

8

Internal functions

110

Testing

Has tests

Yes

Test-to-code ratio

0.55

testthat edition

3

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

15.8%

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

2026-07-29

Avg cadence

182 days

Cold removal rate

–

Dep drift

1

LOC over versions

v3.18: 6,562 LOCv3.19: 6,645 LOCv3.20: 6,855 LOCv3.21: 6,855 LOCv3.22: 6,855 LOCv3.23: 7,424 LOC

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

Documentation

In the Bioconductor 3.23 release
READMEYes · 1,950 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structuredCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
26 (15 internal)
Examples that run
90%9 run in a plain check · 1 never run
Exported functions with examples
100%
Documented parameters
90%
Return-value docs
100%
Help pages citing references
8%
Vignettes (1)

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/const-ae/lemur on 2026-10-21.

Docs source (1)
README.Rmd
Reproducibility and dev environment (1)
data-raw/
How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 1
NameClassSizeAlso in
glioblastoma_example_data–––

All of lemur's data objects

Topics

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' entry:

citation("lemur")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1101/2023.03.06.531268.

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 v2026-10-24. 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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