Other packages > Find by keyword >

DBHC  

Sequence Clustering with Discrete-Output HMMs
View on CRAN: Click here


Download and install DBHC package within the R console
Install from CRAN:
install.packages("DBHC")

Install from Github:
library("remotes")
install_github("cran/DBHC")

Install by package version:
library("remotes")
install_version("DBHC", "0.0.3")



Attach the package and use:
library("DBHC")
Maintained by
Gabriel Budel
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-13
Latest Update: 2022-12-22
Description:
Provides an implementation of a mixture of hidden Markov models (HMMs) for discrete sequence data in the Discrete Bayesian HMM Clustering (DBHC) algorithm. The DBHC algorithm is an HMM Clustering algorithm that finds a mixture of discrete-output HMMs while using heuristics based on Bayesian Information Criterion (BIC) to search for the optimal number of HMM states and the optimal number of clusters.
How to cite:
Gabriel Budel (2018). DBHC: Sequence Clustering with Discrete-Output HMMs. R package version 0.0.3, https://cran.r-project.org/web/packages/DBHC. Accessed 26 Aug. 2026.
Previous versions and publish date:
0.0.2 (2018-04-13 13:09), 0.0.3 (2022-12-22 14:10), (2026-07-24 20:20)
Other packages that cited DBHC R package
View DBHC citation profile
Other R packages that DBHC depends, imports, suggests or enhances
Complete documentation for DBHC
Functions, R codes and Examples using the DBHC R package
Some associated functions: assign.clusters . cluster.bic . count.parameters . emission.heatmap . hmm.clust . model.ll . partition.bic . select.seeds . seq2hmm.ll . size.search . smooth.hmm . smooth.probabilities . transition.heatmap . 
Some associated R codes: DBHC.R . hmmclustering.R . plotfunctions.R .  Full DBHC package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
RCytoGPS  
Using Cytogenetics Data in R
Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency  
ncodeR  
Techniques for Automated Classifiers
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency  
clinUtils  
General Utility Functions for Analysis of Clinical Data
Utility functions to facilitate the import, the reporting and analysis of clinical data. Example ...
Download / Learn more Package Citations See dependency  
SelvarMix  
Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis
Performs a regularization approach to variable selection in themodel-based clustering and classifica ...
Download / Learn more Package Citations See dependency  
leafgl  
High-Performance 'WebGl' Rendering for Package 'leaflet'
Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript l ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA