Simulate parametric and semi-parametric survival times through a consistent, reusable interface for each distribution, using an object-oriented design. Supported distributions include Exponential, Weibull, Gompertz, Log-Logistic, Log-Normal, and Piecewise Exponential. Random variates can be generated under Proportional Hazards, Accelerated Failure Time, and Extended Hazards models, as well as under renewal and non-homogeneous Poisson recurrent event processes, following the methods described by Bender (2003) <doi:10.5282/UBM/EPUB.1716> and Leemis (1987) in Operations Research, 35(6), 892-894.
| Version: | 3.2.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | dplyr, tidyr, ggplot2, survival |
| Suggests: | knitr, rmarkdown, spelling, testthat (≥ 3.0.0) |
| Published: | 2026-09-20 |
| DOI: | 10.32614/CRAN.package.survobj |
| Author: | Aponte John |
| Maintainer: | Aponte John <john.j.aponte at gmail.com> |
| BugReports: | https://github.com/johnaponte/survobj/issues |
| License: | GPL (≥ 3) |
| URL: | https://johnaponte.github.io/survobj/, https://github.com/johnaponte/survobj |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README, NEWS |
| CRAN checks: | survobj results |
| Package source: | survobj_3.2.0.tar.gz |
| Windows binaries: | r-devel: survobj_3.1.1.zip, r-release: survobj_3.1.1.zip, r-oldrel: survobj_3.1.1.zip |
| macOS binaries: | r-release (arm64): survobj_3.1.1.tgz, r-oldrel (arm64): survobj_3.1.1.tgz, r-release (x86_64): survobj_3.2.0.tgz, r-oldrel (x86_64): survobj_3.1.1.tgz |
| Old sources: | survobj archive |
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