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PHSMM  

Penalised Maximum Likelihood Estimation for Hidden Semi-Markov Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("PHSMM", "1.0")



Attach the package and use:
library("PHSMM")
Maintained by
Jennifer Pohle
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-09
Latest Update: 2021-02-09
Description:
Provides tools for penalised maximum likelihood estimation of hidden semi-Markov models (HSMMs) with flexible state dwell-time distributions. These include functions for model fitting, model checking and state-decoding. The package considers HSMMs for univariate time series with state-dependent gamma, normal, Poisson or Bernoulli distributions. For details, see Pohle, J., Adam, T. and Beumer, L.T. (2021): Flexible estimation of the state dwell-time distribution in hidden semi-Markov models. .
How to cite:
Jennifer Pohle (2021). PHSMM: Penalised Maximum Likelihood Estimation for Hidden Semi-Markov Models. R package version 1.0, https://cran.r-project.org/web/packages/PHSMM. Accessed 22 Dec. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited PHSMM R package
View PHSMM citation profile
Other R packages that PHSMM depends, imports, suggests or enhances
Complete documentation for PHSMM
Functions, R codes and Examples using the PHSMM R package
Some associated functions: bern . decodeHSMM . muskox . n2wHSMM . nll_Rcpp . npllHSMM . plotDw . pmleHSMM . pseudoResHSMM . tpmHMM . w2nHSMM . 
Some associated R codes: RcppExports.R . dbern.R . decodeHSMM.R . n2wHSMM.R . npllHSMM.R . pbern.R . plotDw.R . pmleHSMM.R . pseudoResHSMM.R . tpmHMM.R . w2nHSMM.R .  Full PHSMM package functions and examples
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