Directed Acyclic Graph HMM with TAN Structured Emissions
Overview
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
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- 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
Dependencies
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- unarchivedReturned to CRAN2025-07-18
- 0.1.1Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- archivedRemoved from CRAN2023-10-20requires archived package 'bnclassify'
- RR 4.3.0 released · 2023-04-21
- 0.1.02023-01-10
- RR 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
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