bayesSurv: Bayesian Survival Regression with Flexible Error and Random Effects Distributions

Contains Bayesian implementations of the Mixed-Effects Accelerated Failure Time (MEAFT) models for censored data. Those can be not only right-censored but also interval-censored, doubly-interval-censored or misclassified interval-censored. The methods implemented in the package have been published in Komárek and Lesaffre (2006, Stat. Modelling) <doi:10.1191/1471082X06st107oa>, Komárek, Lesaffre and Legrand (2007, Stat. in Medicine) <doi:10.1002/sim.3083>, Komárek and Lesaffre (2007, Stat. Sinica) <https://www3.stat.sinica.edu.tw/statistica/oldpdf/A17n27.pdf>, Komárek and Lesaffre (2008, JASA) <doi:10.1198/016214507000000563>, García-Zattera, Jara and Komárek (2016, Biometrics) <doi:10.1111/biom.12424>.

Getting started

Package details

AuthorArnošt Komárek [aut, cre] (<https://orcid.org/0000-0001-8778-3762>)
MaintainerArnošt Komárek <arnost.komarek@mff.cuni.cz>
LicenseGPL (>= 2)
Version3.7
URL https://msekce.karlin.mff.cuni.cz/~komarek/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("bayesSurv")

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bayesSurv documentation built on May 29, 2024, 8:32 a.m.