Fits tractable fully parametric odds-based regression models for survival data, including proportional odds (PO), accelerated failure time (AFT), accelerated odds (AO), and General Odds (GO) models in overall survival frameworks. Given at least an R function specifying the survivor, hazard rate and cumulative distribution functions, any user-defined parametric distribution can be fitted. We applied and evaluated a minimum of seventeen (17) various baseline distributions that can handle different failure rate shapes for each of the four different proposed odds-based regression models. For more information see Bennet et al., (1983) <doi:10.1002/sim.4780020223>, and Muse et al., (2022) <doi:10.1016/j.aej.2022.01.033>.
Version: 0.1.0 Depends: R (≥ 2.10) Imports: AHSurv, flexsurv, pracma, stats, stats4 Published: 2022-09-08 DOI: 10.32614/CRAN.package.AmoudSurv Author: Abdisalam Hassan Muse [aut, cre], Samuel Mwalili [aut, ctb], Oscar Ngesa [aut, ctb], Christophe Chesneau [aut, ctb] Maintainer: Abdisalam Hassan Muse <abdisalam.h.muse at gmail.com> License: GPL-3 NeedsCompilation: no CRAN checks: AmoudSurv results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=AmoudSurv to link to this page.
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