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
 [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 |
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