Package: ambs
Type: Package
Title: Bayesian Alpha-Mixture Survival Models
Version: 0.1.0
Authors@R: 
    c(
    person("Zhexuan", "Yang", email = "zky5198@psu.edu",
           role = c("aut", "cre")),
    person("Danish", "Ezwan", role = "ctb"),
    person("David", "Goldberg", role = "ctb"),
    person("Ting", "Huang", role = "ctb")
    )
Description: Implements Bayesian estimation for alpha-mixture survival models
    with right-censored data. Weibull-Weibull, Gamma-Weibull, and
    Lognormal-Lognormal component specifications are supported, with all
    component parameters treated as unknown. The package provides
    identifiability handling, adaptive Markov chain Monte Carlo sampling,
    convergence diagnostics, model comparison criteria, and posterior
    survival, hazard, and density estimation. The methodology extends the
    framework described by Luan et al. (2026) <doi:10.3390/math14101772>.
    Danish Ezwan, David Goldberg, and Ting Huang contributed equally to the
    package.
License: GPL (>= 3)
Depends: R (>= 4.0.0)
Imports: graphics, stats, utils
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Suggests: survival, testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-09-25 14:19:20 UTC; zhexuanyang
Author: Zhexuan Yang [aut, cre],
  Danish Ezwan [ctb],
  David Goldberg [ctb],
  Ting Huang [ctb]
Maintainer: Zhexuan Yang <zky5198@psu.edu>
Repository: CRAN
Date/Publication: 2026-10-06 14:00:02 UTC
Built: R 4.6.1; ; 2026-10-06 21:08:41 UTC; unix
