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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 |
| Reference manual: | afthd.pdf |
| 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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.