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", "1.0.2")



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 1.0.2, https://cran.r-project.org/web/packages/SMM. Accessed 28 Aug. 2026.
Previous versions and publish date:
(2026-07-09 08:24), 1.0.1 (2017-09-08 14:50), 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

RGIFT  
Create Quizzes in GIFT Format
Implementation of some functions to create quizzes in the GIFT format. This format is used by sever ...
Download / Learn more Package Citations See dependency  
NPflow  
Bayesian Nonparametrics for Automatic Gating of Flow-Cytometry Data
Dirichlet process mixture of multivariate normal, skew normal or skew t-distributions modeling orie ...
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  
spatialCovariance  
Computation of Spatial Covariance Matrices for Data on Rectangles
Functions that compute the spatial covariance matrix for the matern and power classes of spatial mod ...
Download / Learn more Package Citations See dependency  
shinyFeedback  
Display User Feedback in Shiny Apps
Easily display user feedback in Shiny apps. ...
Download / Learn more Package Citations See dependency  
mxnorm  
Apply Normalization Methods to Multiplexed Images
Implements methods to normalize multiplexed imaging data, including statistical metrics and visuali ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

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