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Provides tools to simulate and analyze survival data with interval-, left-, right-, and uncensored observations under common parametric distributions, including "Weibull", "Exponential", "Log-Normal", "Log-Logistic", "Gamma", "Gompertz", "Normal", "Logistic", and "EMV". The package supports both direct maximum likelihood estimation and imputation-based methods, making it suitable for methodological research, simulation benchmarking, and teaching. A web-based companion app is also available for demonstration purposes.
| Version: | 0.1.0 |
| Published: | 2025-07-31 |
| DOI: | 10.32614/CRAN.package.simIC |
| Author: | Jayanthi Arasan [aut, cre] |
| Maintainer: | Jayanthi Arasan <jayanthi at upm.edu.my> |
| BugReports: | https://github.com/jayarasan/simIC/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/jayarasan/simIC |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | simIC results |
| Reference manual: | simIC.html , simIC.pdf |
| Package source: | simIC_0.1.0.tar.gz |
| Windows binaries: | r-devel: simIC_0.1.0.zip, r-release: simIC_0.1.0.zip, r-oldrel: simIC_0.1.0.zip |
| macOS binaries: | r-release (arm64): simIC_0.1.0.tgz, r-oldrel (arm64): simIC_0.1.0.tgz, r-release (x86_64): simIC_0.1.0.tgz, r-oldrel (x86_64): simIC_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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