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SemiMarkov  

Multi-States Semi-Markov Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SemiMarkov", "1.4.6")



Attach the package and use:
library("SemiMarkov")
Maintained by
Agnieszka Listwon-Krol
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-03-25
Latest Update: 2019-07-02
Description:
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) .
How to cite:
Agnieszka Listwon-Krol (2013). SemiMarkov: Multi-States Semi-Markov Models. R package version 1.4.6, https://cran.r-project.org/web/packages/SemiMarkov. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.1 (2013-03-25 14:24), 1.2 (2013-05-13 23:35), 1.3.1 (2014-06-16 23:55), 1.3 (2014-04-10 00:35), 1.4.1 (2015-04-10 10:51), 1.4.2 (2015-08-04 17:18), 1.4.3 (2016-01-19 09:00), 1.4.4 (2018-05-29 18:11), 1.4.5 (2018-11-22 07:10), 1.4 (2014-10-06 00:38)
Other packages that cited SemiMarkov R package
View SemiMarkov citation profile
Other R packages that SemiMarkov depends, imports, suggests or enhances
Complete documentation for SemiMarkov
Functions, R codes and Examples using the SemiMarkov R package
Some associated functions: hazard . param.init . plot.hazard . print.hazard . print.semiMarkov . semiMarkov . summary.hazard . summary.semiMarkov . 
Some associated R codes: Full SemiMarkov package functions and examples
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