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Biochemically Intuitive Generalized Loewe Model

0packages depend
5.5Kdownloads / year
66.2%test coverage
13/13flavors OK

Overview

About

Response surface methods for drug synergy analysis. Available methods include generalized and classical Loewe formulations as well as Highest Single Agent methodology. Response surfaces can be plotted in an interactive 3-D plot and formal statistical tests for presence of synergistic effects are available. Implemented methods and tests are described in the article "BIGL: Biochemically Intuitive Generalized Loewe null model for prediction of the expected combined effect compatible with partial agonism and antagonism" by Koen Van der Borght, Annelies Tourny, Rytis Bagdziunas, Olivier Thas, Maxim Nazarov, Heather Turner, Bie Verbist & Hugo Ceulemans (2017) doi:10.1038/s41598-017-18068-5.

Changes in 1.9.3
  • allow specification of text size and own colours in plotConfInt
  • fix bug isolating points in 3D plot

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 5.7 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.9.3
README· In the repository, left out of the releaseVignettesYes · 2 · dynamicNEWSYes · 100% structured · mentions 1.9.3Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
68
Examples that run
62%8 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran) · 4 never run
Exported functions with examples
81%
Documented parameters
92%
Return-value docs
75%
Help pages citing references
0%

Downloads

5.5K
CRAN downloads in the past year
Rank #5,635 · ~15/day · ~457/mo
Daily download trend is not available in this view yet.
67130 days
1.5K90 days
5.5K1 year
Compare downloads with other packages →
Also on113 r2u23 autocran

Repository

8Stars
7Forks
2Open issues
0Open PRs
0Releases
153Commits
6Commit identities
License file reads as GPL-3.0 · 153 commits · Last activity 2023-06-13 · 0% stars, 30d · The default branch showed an older version (1.8.0) than CRAN on 2026-10-21
Responsiveness
How these are sampled
PRs merged (all time)
50%
Median days to close, 50 most recently updated closed issues
286
Median days to close, 50 most recently updated closed PRs
71

Stars over time

2021-12-21 · 72026-07-07 · 8
PracticesBeta

Checks run against github.com/openanalytics/bigl on 2026-10-21.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
17 external dependencies (excludes base and recommended)

Installing BIGL adds 73 packages (38 with compiled code, 65 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 3.5
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (8)
Author, Maintainer since 1.9.0 (2023) · added in 1.9.0
Author · added in 1.6.0
Author · added in 1.7.0

Previously maintained by Maxim Nazarov (1.1.0 to 1.8.0) and Rytis Bagdziunas (1.0.1).

Listed in earlier versions (1)
Pérez
no longer listed · 1.9.3
Releases (27)

Pick two releases to compare their code metrics.

Show 23 earlier eventsHide 23 earlier events

Package metadata

First published
2017-06-30
Total releases
27 / 9 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5
Bundled data
40 KB / 2 files
Download size
1.4 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BIGL")
Mutambanengwe, K., Bagdziunas, R., Hawinkel, S., Nazarov, M., Pérez, J. F., Thas, O., Tourny, A., & Turner, H. (2024). BIGL: Biochemically Intuitive Generalized Loewe Model (Version 1.9.3) [Computer software]. https://doi.org/10.32614/CRAN.package.BIGL

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 BIGL version 1.9.3 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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