Other packages > Find by keyword >

SMM  

Simulation and Estimation of Multi-State Discrete-Time Semi-Markov and Markov Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SMM", "1.0.3")



Attach the package and use:
library("SMM")
Maintained by
Nicolas Vergne
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-07-22
Latest Update: 2020-01-31
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. 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 (2017). SMM: Simulation and Estimation of Multi-State Discrete-Time Semi-Markov and Markov Models. R package version 1.0.3, https://cran.r-project.org/web/packages/SMM. Accessed 10 Oct. 2026.
Previous versions and publish date:
(2026-09-06 09:50), 1.0.1 (2017-09-08 14:50), 1.0.2 (2020-01-31 14:30), 1.0 (2017-07-22 22:28)
Other packages that cited SMM R package
View SMM citation profile
Other R packages that SMM depends, imports, suggests or enhances
Complete documentation for SMM
Functions, R codes and Examples using the SMM R package
Some associated functions: AIC_Mk . AIC_SM . BIC_Mk . BIC_SM . InitialLawMk . InitialLawSM . LoglikelihoodMk . LoglikelihoodSM . SMM-package . estimMk . estimSM . simulMk . simulSM . 
Some associated R codes: AIC_Mk.R . AIC_SM.R . BIC_Mk.R . BIC_SM.R . InitialLawMk.R . InitialLawSM.R . Internal.R . LoglikelihoodMk.R . LoglikelihoodSM.R . estimMk.R . estimSM.R . simulMk.R . simulSM.R .  Full SMM package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

RPEnsemble  
Random Projection Ensemble Classification
Implements the methodology of "Cannings, T. I. and Samworth, R. J. (2017) Random-projection ensemble ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
eoR  
Data Management Package (Exposure and Occurrence Data in R)
This data management package provides some helper classes for publicly available data sources (HMD, ...
Download / Learn more Package Citations See dependency  
adespatial  
Multivariate Multiscale Spatial Analysis
Tools for the multiscale spatial analysis of multivariate data. Several methods are based on the us ...
Download / Learn more Package Citations See dependency  
keyATM  
Keyword Assisted Topic Models
Fits keyword assisted topic models (keyATM) using collapsed Gibbs samplers. The keyATM combines the ...
Download / Learn more Package Citations See dependency  

28,989

R Packages

247,686

Dependencies

76,729

Author Associations

28,990

Publication Badges

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