Package: smmR 1.0.3
Nicolas Vergne
smmR: Simulation, Estimation and Reliability of Semi-Markov Models
Performs parametric and non-parametric estimation and simulation for multi-state discrete-time semi-Markov processes. For the parametric estimation, several discrete distributions are considered for the sojourn times: Uniform, Geometric, Poisson, Discrete Weibull and Negative Binomial. The non-parametric estimation concerns the sojourn time distributions, where no assumptions are done on the shape of distributions. Moreover, the estimation can be done on the basis of one or several sample paths, with or without censoring at the beginning or/and at the end of the sample paths. Reliability indicators such as reliability, maintainability, availability, BMP-failure rate, RG-failure rate, mean time to failure and mean time to repair are available as well. The implemented methods are described in Barbu, V.S., Limnios, N. (2008) <doi:10.1007/978-0-387-73173-5>, Barbu, V.S., Limnios, N. (2008) <doi:10.1080/10485250701261913> and Trevezas, S., Limnios, N. (2011) <doi:10.1080/10485252.2011.555543>. Estimation and simulation of discrete-time k-th order Markov chains are also considered.
Authors:
smmR_1.0.3.tar.gz
smmR_1.0.3.tar.gz(r-4.5-noble)smmR_1.0.3.tar.gz(r-4.4-noble)
smmR_1.0.3.tgz(r-4.4-emscripten)smmR_1.0.3.tgz(r-4.3-emscripten)
smmR.pdf |smmR.html✨
smmR/json (API)
NEWS
| # Install 'smmR' in R: |
| install.packages('smmR', repos = 'https://cloud.r-project.org') |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:fb6d7eeb0c. Checks:1 OK, 1 NOTE. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 23 2025 |
| R-4.5-linux-x86_64 | NOTE | Feb 23 2025 |
Exports:aicavailabilitybicfailureRatefitmmfitsmmgetKernelis.mmis.mmfitis.smmis.smmfitis.smmnonparametricis.smmparametricloglikmaintainabilitymeanRecurrenceTimesmeanSojournTimesmmmttfmttrreliabilitysetSeedsmmnonparametricsmmparametric
Dependencies:ade4DiscreteWeibulllatticeMASSnlmepixmapRcppRcppArmadilloRsolnpsegmentedseqinrsptruncnorm
Citation
To cite package ‘smmR’ in publications use:
Barbu V, Berard C, Cellier D, Lecocq F, Lothode C, Sautreuil M, Vergne N (2021). smmR: Simulation, Estimation and Reliability of Semi-Markov Models. R package version 1.0.3, https://CRAN.R-project.org/package=smmR.
Corresponding BibTeX entry:
@Manual{,
title = {smmR: Simulation, Estimation and Reliability of
Semi-Markov Models},
author = {Vlad Stefan Barbu and Caroline Berard and Dominique
Cellier and Florian Lecocq and Corentin Lothode and Mathilde
Sautreuil and Nicolas Vergne},
year = {2021},
note = {R package version 1.0.3},
url = {https://CRAN.R-project.org/package=smmR},
}
