sa4khan/AFTjmr: Recurrent event analysis and joint modeling using accelerated failure time (AFT) models
Recurrent event data analysis and joint modeling using AFT models. It also includes fitting AFT models for right censored (non-recurrent) time-to-event data. Available models are Weibull, log-logistic, log-normal, exponentiated Weibull and generalized gamma. Maximum likelihood method is used to fit recurrent event models, and Bayesian approach (implemented in JAGS) is used for joint modeling. The package dclone is used for parallel computation in JAGS for MCMC. Note that JAGS must be installed for MCMC.
Getting started
Browse package contents
Package details |
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| Author | Shahedul A. Khan <khan@math.usask.ca> |
| Maintainer | Shahedul A. Khan <khan@math.usask.ca> |
| License | GPL (>= 2) |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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