Other packages > Find by keyword >

oHMMed  

HMMs with Ordered Hidden States and Emission Densities
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("oHMMed", "1.0.2")



Attach the package and use:
library("oHMMed")
Maintained by
Michal Majka
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-07-05
Latest Update: 2024-04-19
Description:
Inference using a class of Hidden Markov models (HMMs) called 'oHMMed'(ordered HMM with emission densities ): The 'oHMMed' algorithms identify the number of comparably homogeneous regions within observed sequences with autocorrelation patterns. These are modelled as discrete hidden states; the observed data points are then realisations of continuous probability distributions with state-specific means that enable ordering of these distributions. The observed sequence is labelled according to the hidden states, permitting only neighbouring states that are also neighbours within the ordering of their associated distributions. The parameters that characterise these state-specific distributions are then inferred. Relevant for application to genomic sequences, time series, or any other sequence data with serial autocorrelation.
How to cite:
Michal Majka (2023). oHMMed: HMMs with Ordered Hidden States and Emission Densities. R package version 1.0.2, https://cran.r-project.org/web/packages/oHMMed. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.0.0 (2023-07-05 16:30), 1.0.1 (2023-11-19 08:50)
Other packages that cited oHMMed R package
View oHMMed citation profile
Other R packages that oHMMed depends, imports, suggests or enhances
Complete documentation for oHMMed
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

shinybusy  
Busy Indicators and Notifications for 'Shiny' Applications
Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the ...
Download / Learn more Package Citations See dependency  
crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  
AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  
murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  
golem  
A Framework for Robust Shiny Applications
An opinionated framework for building a production-ready 'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

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