afthd: Accelerated Failure Time for High Dimensional Data with MCMC

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>.

Version:	1.1.0
Depends:	R (≥ 3.5.0)
Imports:	glmnet, photobiology, R2jags, rstpm2, survival
Published:	2021-10-01
DOI:	10.32614/CRAN.package.afthd
Author:	Atanu Bhattacharjee [aut, cre, ctb], Gajendra Kumar Vishwakarma [aut, ctb], Pragya Kumari [aut, ctb]
Maintainer:	Atanu Bhattacharjee <atanustat at gmail.com>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	afthd results

Documentation:

Reference manual:

afthd.html , afthd.pdf

Downloads:

Package source:	afthd_1.1.0.tar.gz
Windows binaries:	r-devel: afthd_1.1.0.zip, r-release: afthd_1.1.0.zip, r-oldrel: afthd_1.1.0.zip
macOS binaries:	r-release (arm64): afthd_1.1.0.tgz, r-oldrel (arm64): afthd_1.1.0.tgz, r-release (x86_64): afthd_1.1.0.tgz, r-oldrel (x86_64): afthd_1.1.0.tgz
Old sources:	afthd archive

Reverse dependencies:

Reverse imports:	S3VS
Reverse suggests:	ShrinkageTrees

Linking:

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