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dagHMM

0.1.1Package record

Directed Acyclic Graph HMM with TAN Structured Emissions

0packages depend
2.2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Hidden Markov models (HMMs) are a formal foundation for making probabilistic models of linear sequence. They provide a conceptual toolkit for building complex models just by drawing an intuitive picture. They are at the heart of a diverse range of programs, including genefinding, profile searches, multiple sequence alignment and regulatory site identification. HMMs are the Legos of computational sequence analysis. In graph theory, a tree is an undirected graph in which any two vertices are connected by exactly one path, or equivalently a connected acyclic undirected graph. Tree represents the nodes connected by edges. It is a non-linear data structure. A poly-tree is simply a directed acyclic graph whose underlying undirected graph is a tree. The model proposed in this package is the same as an HMM but where the states are linked via a polytree structure rather than a simple path.

Install

Health

CRAN checks
13OK
Slowest check: 56 s · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
10
Examples that run
100%9 run in a plain check
Exported functions with examples
90%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
0%

Downloads

2.2K
CRAN downloads in the past year
Rank #19,961 · ~6/day · ~182/mo
Daily download trend is not available in this view yet.
24830 days
65890 days
2.2K1 year
Compare downloads with other packages →
Also on76 r2u4 autocran

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing dagHMM adds 15 packages (8 with compiled code, 20 MB of source tarballs). Heaviest: BH 14 MB, Rcpp 1.8 MB, bnlearn 1.3 MB.

Depends (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (3)
Author, Maintainer since 0.1.0 (2023)
Thesis advisor
Thesis advisor
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • unarchivedReturned to CRAN
    2025-07-18
  • 0.1.1Latest
    record
    2025-07-18 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • archivedRemoved from CRAN
    2023-10-20
    requires archived package 'bnclassify'
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.0
    record
    2023-01-10
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2023-01-10
Total releases
2 / 3 yrs
License
GPL (>= 2.0.0)
Download size
12 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("dagHMM")
Bende, P., Greiner, R., & Ramazi, P. (2025). dagHMM: Directed Acyclic Graph HMM with TAN Structured Emissions (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.dagHMM

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 dagHMM version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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