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oHMMed
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]
[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 26 Aug. 2026.
Previous versions and publish date:
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
Functions, R codes and Examples using
the oHMMed R package
Some associated functions: coef.hmm_mcmc_normal . conf_mat . convert_to_ggmcmc . eigen_system . example_hmm_mcmc_gamma_poisson . example_hmm_mcmc_normal . generate_random_T . get_pi . hmm_mcmc_gamma_poisson . hmm_mcmc_normal . hmm_simulate_gamma_poisson_data . hmm_simulate_normal_data . kullback_leibler_cont_appr . kullback_leibler_disc . oHMMed-package . plot.hmm_mcmc_gamma_poisson . plot.hmm_mcmc_normal . posterior_prob_gamma_poisson . posterior_prob_normal .
Some associated R codes: MCMC_normal.R . MCMC_poisson.R . additional_documentation.R . Full oHMMed package functions and examples
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