AmoudSurv: Tractable Parametric Odds-Based Regression Models

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
Author: Abdisalam Hassan Muse ORCID iD [aut, cre], Samuel Mwalili [aut, ctb], Oscar Ngesa [aut, ctb], Christophe Chesneau [aut, ctb]
Maintainer: Abdisalam Hassan Muse <abdisalam.h.muse at>
License: GPL-3
NeedsCompilation: no
CRAN checks: AmoudSurv results


Reference manual: AmoudSurv.pdf


Package source: AmoudSurv_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): AmoudSurv_0.1.0.tgz, r-oldrel (arm64): AmoudSurv_0.1.0.tgz, r-release (x86_64): AmoudSurv_0.1.0.tgz, r-oldrel (x86_64): AmoudSurv_0.1.0.tgz


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