Package: dagHMM
Type: Package
Title: Directed Acyclic Graph HMM with TAN Structured Emissions
Version: 0.1.1
Authors@R: c(person("Prajwal","Bende", role=c("aut","cre"),email="prajwal.bende@gmail.com"), person("Russ", "Greiner", role=c("ths"), email='rgreiner@ualberta.ca'),person("Pouria", "Ramazi", role=c("ths"), email='pramazi@brocku.ca'))
Maintainer: Prajwal Bende <prajwal.bende@gmail.com>
Description: 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.
License: GPL (>= 2.0.0)
Encoding: UTF-8
Imports: gtools, future, matrixStats, PRROC, bnlearn, bnclassify
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2025-07-15 16:01:46 UTC; prajw
Author: Prajwal Bende [aut, cre],
  Russ Greiner [ths],
  Pouria Ramazi [ths]
Repository: CRAN
Date/Publication: 2025-07-18 15:20:29 UTC
Built: R 4.6.0; ; 2026-04-26 03:17:19 UTC; unix
