Package: afthd 1.1.0
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>.
Authors:
afthd_1.1.0.tar.gz
afthd_1.1.0.zip(r-4.5)afthd_1.1.0.zip(r-4.4)afthd_1.1.0.zip(r-4.3)
afthd_1.1.0.tgz(r-4.4-any)afthd_1.1.0.tgz(r-4.3-any)
afthd_1.1.0.tar.gz(r-4.5-noble)afthd_1.1.0.tar.gz(r-4.4-noble)
afthd_1.1.0.tgz(r-4.4-emscripten)afthd_1.1.0.tgz(r-4.3-emscripten)
afthd.pdf |afthd.html✨
afthd/json (API)
| # Install 'afthd' in R: |
| install.packages('afthd', repos = c('https://atanubhattacharjee.r-universe.dev', 'https://cloud.r-project.org')) |
- hdata - Head and neck cancer data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:5ec629860e. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 29 2024 |
| R-4.5-win | OK | Oct 29 2024 |
| R-4.5-linux | OK | Oct 29 2024 |
| R-4.4-win | OK | Oct 29 2024 |
| R-4.4-mac | OK | Oct 29 2024 |
| R-4.3-win | OK | Oct 29 2024 |
| R-4.3-mac | OK | Oct 29 2024 |
Exports:aftbybmvlgnbymvlgnbyunilgstbymvlgstbyunipvaftrglaftrglwbysmrglwbysuwbyAgmvwbyscrkmwbyscrkuwbysmvwbysuni
Dependencies:abindbbmlebdsmatrixBHbootclicodacodetoolscpp11dplyrfansifastGHQuadforeachgenericsglmnetglueiteratorslatticelifecyclelubridatemagrittrMASSMatrixmgcvmvtnormnlmenumDerivphotobiologypillarpkgconfigplyrpolynompurrrR2jagsR2WinBUGSR6RcppRcppArmadilloRcppEigenrjagsrlangrstpm2shapesplus2Rstringistringrsurvivaltibbletidyrtidyselecttimechangeutf8vctrswithrzoo
