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HMMmlselect
View on CRAN: Click
here
Download and install HMMmlselect package within the R console
Install from CRAN:
install.packages("HMMmlselect")
Install from Github:
library("remotes")
install_github("cran/HMMmlselect")
Install by package version:
library("remotes")
install_version("HMMmlselect", "0.1.6")
Attach the package and use:
library("HMMmlselect")
Maintained by
Chu-Lan Michael Kao
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-08
Latest Update: 2020-05-03
Description:
Provide functions to make estimate the number of states for a hidden Markov
model (HMM) using marginal likelihood method proposed by the authors.
See the Manual.pdf file a detail description of all functions, and a detail tutorial.
How to cite:
Chu-Lan Michael Kao (2019). HMMmlselect: Determine the Number of States in Hidden Markov Models via Marginal Likelihood. R package version 0.1.6, https://cran.r-project.org/web/packages/HMMmlselect
Previous versions and publish date:
Other packages that cited HMMmlselect R package
View HMMmlselect citation profile
Other R packages that HMMmlselect depends,
imports, suggests or enhances
Functions, R codes and Examples using
the HMMmlselect R package
Some associated functions: HMMfit . HMMfitting . HMMll . HMMmlestimate . HMMmlselect-package . HMMmlselect . HMMrepsim . HMMsim . HMMsimulate . PlotHMM . RobustBIC . check_para_validity . estimateNormalizingConst . find_importance_function . find_index_local_region . ll_un_normalized_hmm_gm . logmvNormdensity . logmvTdensity . multivariate_mixture_density . sample_mixture .
Some associated R codes: HMMorderselectionfacility.R . RcppExports.R . Full HMMmlselect package functions and examples
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