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BIDistances

1.0.1Package record

Bioinformatic Distances

0packages depend
2.9Kdownloads / year
50.9%test coverage
13/13flavors OK

Overview

About

Provides a unified interface for computing, comparing, and examining distances, dissimilarities, divergences, and selected similarities for bioinformatics data. The core installation exposes 60 canonical named routes for numerical data and more than 90 when the suggested 'philentropy' backend is installed; aliases, user-defined functions, and mixed-data combinations are not included in these counts. Weighted Minkowski distances can be computed through 'parallelDist', an internal multicore implementation, or optional 'OpenCL' kernels, while the established weighted Euclidean GPU implementation is retained as the optimized p = 2 route. The package also supports theory-guided comparison of distance distributions for clustering, explicit mathematical property classifications, mixed-data constructions through 'manydist', and a specialized Gene Ontology-derived TF-IDF distance.

Install

Health

CRAN checks
13OK
Slowest check: 4.2 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-22
  • WARNING12 OK, 1 WARNING2026-08-21
  • ERROR10 OK, 2 WARNING, 1 ERROR2026-08-20
  • WARNING6 OK, 2 NOTE, 5 WARNING2026-08-05
  • NOTE12 OK, 1 NOTE2026-07-11
Show 4 earlier changesHide 4 earlier changes
  • OK12 OK2026-04-25
  • NOTE11 OK, 3 NOTE2026-04-22
  • ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.1
READMEYes · 1,263 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
39 (1 internal)
Examples that run
86%32 run in a plain check (2 of them under a condition) · 3 only when donttest examples are enabled (R CMD check --as-cran) · 2 never run
Exported functions with examples
100%
Documented parameters
99%
Return-value docs
100%
Help pages citing references
46%

Downloads

2.9K
CRAN downloads in the past year
Rank #8,365 · ~8/day · ~242/mo
Daily download trend is not available in this view yet.
32330 days
1.1K90 days
2.9K1 year
Compare downloads with other packages →
Also on470 r2u34 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2026-08-20
Responsiveness
not measured
PracticesBeta

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

Checks run against github.com/mthrun/bidistances on 2026-10-22.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
22 external dependencies (excludes base and recommended)

Installing BIDistances adds 32 packages (20 with compiled code, 38 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, sp 4.3 MB.

Depends (1)
R >= 3.5.0
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 0.1.5 (2026)
Author, Reviewer, Contributor
Contributor

Previously maintained by Quirin Stier (0.0.2 to 0.1.3).

Releases (5)

Pick two releases to compare their code metrics.

  • 1.0.1Latest
    record
    2026-08-19 · current release · diff ↗
  • 1.0.0
    record
    2026-08-19 · diff ↗ ·
    removed 17 exports
    CosinusDistance, Dist2All, EuclideanDistances_GPU, fastPdist, FractionalDistance, GiniDist, Hellinger4ConditionalPDF, jaccard, knneighborDistances, Mahalanobis, msmd, nearest, pdistToroid, SharedNeighborDistance, ToroidDist2All, twed, WassersteinDist
    added 31 exports
    Cosine_Distance, DistanceOneToAll, DistanceDistributionAnalysis, DistanceProperties, DTW_Distance, endresSchindelin_TwoSamplePDF, endresSchindelin_Distribution, EndresSchindelin_Distance, EuclideanGPU_Distance, EuclideanMulticore_Distance, Fractional_Distance, Gini_Distance, Hellinger_Distance, IntraClusterBoundaryCounts, Jaccard_Distance, KNearestNeighborsFromDistance, Mahalanobis_Distance, MSMD_Distance, Minkowski_Distance, NearestNeighborIndex, ToroidalEuclidean_Distance, SharedNeighbor_Distance, Tfidf_Distance, ToroidalEuclideanDistanceOneToAll, TWED_Distance, Wasserstein_Distance, fast_dip_stat, fast_dip_test, fast_dip_test_matrix, dip.test.fast and 1 more
  • 0.1.5
    record
    2026-08-04 · diff ↗ ·
    added 6 exports
    calculateMemoryDemandGPU, EuclideanDistances_GPU, Hellinger4ConditionalPDF, knneighborDistances, Kullback_Leibler_div, pdistToroid
  • R
    R 4.6.0 released · 2026-04-24
  • unarchivedReturned to CRAN
    2025-05-11
  • 0.1.3
    record
    2025-05-11 · diff ↗ ·
    removed 1 export
    pattern:^[[:alpha:]]+
    added 18 exports
    CosinusDistance, Dist2All, DistanceDistributions, DistanceMatrix, fastPdist, FractionalDistance, GiniDist, jaccard, Mahalanobis, msmd, nearest, SharedNeighborDistance, Tfidf_dist, ToroidDist2All, TransformSimilarity2MetricDistance, twed, VariablePrecision, WassersteinDist
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • archivedRemoved from CRAN
    2023-06-01
    issues were not corrected in time OpenCL on macOS, also Fedora 34
  • 0.0.2
    record
    2023-05-18
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-05-18
Total releases
5 / 3 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
14 KB / 2 files
Download size
154 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("BIDistances")

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

It points to 10.1142/s1469026821500164, 10.15388/23-infor517.

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 BIDistances version 1.0.1 [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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