Title: Accelerated Failure Time for High Dimensional Data with MCMC
Package: afthd
Type: Package
Version: 1.1.0
Date: 2021-10-01
Description: Functions for Posterior estimates of Accelerated Failure
        Time(AFT) model with MCMC and Maximum likelihood estimates of
        AFT model without MCMC for univariate and multivariate analysis
        in high dimensional gene expression data are available in this
        'afthd' package. AFT model with Bayesian framework for
        multivariate in high dimensional data has been proposed by
        Prabhash et al.(2016) <doi:10.21307/stattrans-2016-046>.
LazyDataCompression: xz
ByteCompile: Yes
Authors@R: c(person(("Atanu"), "Bhattacharjee",
                    email="atanustat@gmail.com",
	            role=c("aut", "cre","ctb")),
               person(("Gajendra Kumar"), "Vishwakarma", role=c("aut","ctb")),
               person(("Pragya"), "Kumari", role=c("aut","ctb")))
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: glmnet,photobiology,R2jags,rstpm2,survival
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
RoxygenNote: 7.1.2
NeedsCompilation: no
Packaged: 2026-06-05 09:39:44 UTC; root
Author: Atanu Bhattacharjee [aut, cre, ctb], Gajendra Kumar Vishwakarma
        [aut, ctb], Pragya Kumari [aut, ctb]
Config/pak/sysreqs: jags libicu-dev
Repository: https://atanubhattacharjee.r-universe.dev
Date/Publication: 2021-10-01 09:00:05 UTC
RemoteUrl: https://github.com/cran/afthd
RemoteRef: HEAD
RemoteSha: 5ec629860e84581615cb17f130a7081bb1eadc1d