Package: SemiMarkov 1.4.6

Agnieszka Listwon-Krol

SemiMarkov: Multi-States Semi-Markov Models

Functions for fitting multi-state semi-Markov models to longitudinal data. A parametric maximum likelihood estimation method adapted to deal with Exponential, Weibull and Exponentiated Weibull distributions is considered. Right-censoring can be taken into account and both constant and time-varying covariates can be included using a Cox proportional model. Reference: A. Krol and P. Saint-Pierre (2015) <doi:10.18637/jss.v066.i06>.

Authors:Agnieszka Listwon-Krol, Philippe Saint-Pierre

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NEWS

# Install 'SemiMarkov' in R:
install.packages('SemiMarkov', repos = 'https://cloud.r-project.org')
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 235 downloads 4 exports 4 dependencies

Last updated 6 years agofrom:4c2a18288a. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 25 2025
R-4.5-linuxOKMar 25 2025
R-4.4-linuxOKMar 25 2025

Exports:hazardparam.initsemiMarkovtable.state

Dependencies:MASSnumDerivRsolnptruncnorm

Citation

To cite SemiMarkov in publications use:

Agnieszka Krol, Philippe Saint-Pierre (2015). SemiMarkov: An R Package for Parametric Estimation in Multi-State Semi-Markov Models. Journal of Statistical Software, 66(6), 1-16. URL http://www.jstatsoft.org/v66/i06/.

Corresponding BibTeX entry: 

  @Article{,
    title = {{SemiMarkov}: An {R} Package for Parametric Estimation in
      Multi-State Semi-Markov Models},
    author = {Agnieszka Kr\'{o}l and Philippe Saint-Pierre},
    journal = {Journal of Statistical Software},
    year = {2015},
    volume = {66},
    number = {6},
    pages = {1--16},
    url = {http://www.jstatsoft.org/v66/i06/},
  }