Package: SemiMarkov 1.4.6
Agnieszka Listwon-Krol
SemiMarkov: Multi-States Semi-Markov Models
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) <doi:10.18637/jss.v066.i06>.
Authors:
SemiMarkov_1.4.6.tar.gz
SemiMarkov_1.4.6.tar.gz(r-4.7-any)SemiMarkov_1.4.6.tar.gz(r-4.6-any)
SemiMarkov_1.4.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SemiMarkov/json (API)
| # Install 'SemiMarkov' in R: |
| install.packages('SemiMarkov', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- asthma - Asthma control data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:4c2a18288a. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 144 | ||
| source / vignettes | OK | 168 | ||
| linux-release-x86_64 | OK | 135 | ||
| wasm-release | OK | 114 |
Exports:hazardparam.initsemiMarkovtable.state
Dependencies:codetoolsdigestfuturefuture.applyglobalslistenvMASSnumDerivparallellyRcppRcppArmadilloRsolnptruncnorm
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Asthma control data | asthma |
| Computes hazard rates using an object of class 'semiMarkov' or 'param.init' | hazard |
| Defines the initial values of parameters for a semi-Markov model | param.init |
| Plot method for objects of class 'hazard' | plot.hazard |
| Print method for object of class 'hazard' | print.hazard |
| Print method for object of class 'semiMarkov' | print.semiMarkov |
| Parametric estimation in multi-state semi-Markov models | SemiMarkov semiMarkov |
| Summary method for objects of class 'hazard' | summary.hazard |
| Summary method for objects of class 'semiMarkov' | summary.semiMarkov |
| Table giving the numbers of observed transitions | table.state |