SurviMChd: High Dimensional Survival Data Analysis with Markov Chain Monte Carlo

High dimensional survival data analysis with Markov Chain Monte Carlo(MCMC). Currently support frailty data analysis. Allows for Weibull and Exponential distribution. Includes function for interval censored data.

Version: 0.1.1
Depends: R (≥ 3.5.0)
Imports: survival, utils, Rdpack (≥ 0.7), readr, rjags, R2jags, tidyverse, icenReg, ICBayes, dplyr, rlang
Published: 2021-05-23
Author: Atanu Bhattacharjee [aut, cre, ctb], Akash Pawar [aut, ctb]
Maintainer: Atanu Bhattacharjee <atanustat at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: SurviMChd results

Documentation:

Reference manual: SurviMChd.pdf

Downloads:

Package source: SurviMChd_0.1.1.tar.gz
Windows binaries: r-devel: SurviMChd_0.1.1.zip, r-release: SurviMChd_0.1.1.zip, r-oldrel: SurviMChd_0.1.1.zip
macOS binaries: r-release (arm64): SurviMChd_0.1.1.tgz, r-release (x86_64): SurviMChd_0.1.1.tgz, r-oldrel: SurviMChd_0.1.1.tgz
Old sources: SurviMChd archive

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