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:Atanu Bhattacharjee [aut, cre, ctb], Gajendra Kumar Vishwakarma [aut, ctb], Pragya Kumari [aut, ctb]

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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'))

Peer review:

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3
Datasets:
  • hdata - Head and neck cancer data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

14 exports 0.00 score 55 dependencies 5 scripts 401 downloads

Last updated 3 years agofrom:5ec629860e. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 30 2024
R-4.5-winOKAug 30 2024
R-4.5-linuxOKAug 30 2024
R-4.4-winOKAug 30 2024
R-4.4-macOKAug 30 2024
R-4.3-winOKAug 30 2024
R-4.3-macOKAug 30 2024

Exports:aftbybmvlgnbymvlgnbyunilgstbymvlgstbyunipvaftrglaftrglwbysmrglwbysuwbyAgmvwbyscrkmwbyscrkuwbysmvwbysuni

Dependencies:abindbbmlebdsmatrixBHbootclicodacodetoolscpp11dplyrfansifastGHQuadforeachgenericsglmnetglueiteratorslatticelifecyclelubridatemagrittrMASSMatrixmgcvmvtnormnlmenumDerivphotobiologypillarpkgconfigplyrpolynompurrrR2jagsR2WinBUGSR6RcppRcppArmadilloRcppEigenrjagsrlangrstpm2shapesplus2Rstringistringrsurvivaltibbletidyrtidyselecttimechangeutf8vctrswithrzoo