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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: 2023-11-19
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 22 Dec. 2024.
Previous versions and publish date:
1.0.0 (2023-07-05 16:30), 1.0.1 (2023-11-19 08:50)
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Maintainer: Qi Qin (view profile)

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