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aphid

1.3.6

Analysis with Profile Hidden Markov Models

2packages depend
8.8Kdownloads / year
63.6%test coverage
11/13checks pass

Overview

About
Maintained by Shaun WilkinsonFirst published 2017-06-2410 releasesCRAN page ↗GitHub ↗

Designed for the development and application of hidden Markov models and profile HMMs for biological sequence analysis. Contains functions for multiple and pairwise sequence alignment, model construction and parameter optimization, file import/export, implementation of the forward, backward and Viterbi algorithms for conditional sequence probabilities, tree-based sequence weighting, and sequence simulation. Features a wide variety of potential applications including database searching, gene-finding and annotation, phylogenetic analysis and sequence classification. Based on the models and algorithms described in Durbin et al (1998, ISBN: 9780521629713).

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-fedora-clang
  • NOTE r-devel-linux-x86_64-fedora-gcc
Slowest check: 4.4 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.04
63.6%
Coverage · measured lines
6
Dependencies · direct
Check history
  • NOTE2026-04-22
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 295 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
not tracked
Return-value docs
not tracked
References docs
73%

Downloads

8.8K
CRAN downloads in the past year
Rank #5,212 · ~24/day · ~729/mo
Daily download trend is not available in this view yet.
46330 days
1.5K90 days
8.8K1 year
Compare downloads with other packages →
Also on469 r2u54 autocran1.4K conda_forge116 c2d4u

Repository

Repository
22Stars
4Forks
10Open issues
1Open PRs
2Releases
223Commits
2Contributors
223 commits · Last activity 2026-01-23

Stars over time

2024-10-15 · 222026-07-07 · 22

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/shaunpwilkinson/aphid on 2026-08-23.

Continuous integration (1)
Travis CI
CRAN release process (1)
cran-comments.md
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.0.0
Imports (6)
graphicsopensslkmerqpdfRcppstats
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
2direct
1indirect

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

10 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.3.6Latest
    2026-01-23 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.3.5
    2022-12-05 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 1.3.3
    2019-05-08 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 1.3.2
    2019-03-15 · diff ↗
  • 1.3.1
    2018-11-10 · diff ↗
  • 1.3.0
    2018-10-09 · diff ↗
  • 1.2.0
    2018-08-14 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
Show 4 earlier events
  • 1.1.0
    2018-03-16 · diff ↗
  • 1.0.1
    2017-07-07 · diff ↗
  • 1.0.0
    2017-06-24
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-06-24
Total releases
10 / 9 yrs
License
GPL-3 OSI
Minimum R
≥ 3.0.0
Bundled data
27 KB / 3 files
Download size
261 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("aphid")
Wilkinson, S. (2026). aphid: Analysis with Profile Hidden Markov Models (Version 1.3.6) [Computer software]. https://doi.org/10.32614/CRAN.package.aphid

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 aphid version 1.3.6 [Data set]. HJJB, LLC. Data release v2026-08-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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