Other packages > Find by keyword >

smmR  

Simulation, Estimation and Reliability of Semi-Markov Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("smmR", "1.0.5")



Attach the package and use:
library("smmR")
Maintained by
Nicolas Vergne
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-03-04
Latest Update: 2021-08-03
Description:
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.
How to cite:
Nicolas Vergne (2021). smmR: Simulation, Estimation and Reliability of Semi-Markov Models. R package version 1.0.5, https://cran.r-project.org/web/packages/smmR. Accessed 05 Mar. 2026.
Previous versions and publish date:
1.0.0 (2021-03-04 09:50), 1.0.1 (2021-03-09 10:00), 1.0.2 (2021-03-17 19:00), 1.0.3 (2021-08-03 14:00)
Other packages that cited smmR R package
View smmR citation profile
Other R packages that smmR depends, imports, suggests or enhances
Complete documentation for smmR
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

diffIRT  
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and response time data. Models are fit using ...
Download / Learn more Package Citations See dependency  
roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  
neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  
ClimClass  
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indi ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA