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Provides maximum likelihood estimation methods for eight modified Weibull-type distributions. It returns parameter estimates, log-likelihood, AIC, and BIC, and also supports model fitting, validation, and comparison across different distributional forms. These methods can be applied to reliability, survival, and lifetime data analysis, making the package useful for researchers and practitioners in statistics, engineering, and medicine. The following distributions are included: Rangoli2023, Peng2014, Lai2003, Xie1996, Sarhan2009, Rangoli2025, Mustafa2012, and Alwasel2009.
| Version: | 0.1.0 |
| Imports: | stats |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2025-10-10 |
| DOI: | 10.32614/CRAN.package.WeibullModiAMR |
| Author: | Dr Ajaykumar Rangoli [aut, cre] |
| Maintainer: | Dr Ajaykumar Rangoli <drajaykumarmr1008 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | WeibullModiAMR results |
| Reference manual: | WeibullModiAMR.html , WeibullModiAMR.pdf |
| Package source: | WeibullModiAMR_0.1.0.tar.gz |
| Windows binaries: | r-devel: WeibullModiAMR_0.1.0.zip, r-release: WeibullModiAMR_0.1.0.zip, r-oldrel: WeibullModiAMR_0.1.0.zip |
| macOS binaries: | r-release (arm64): WeibullModiAMR_0.1.0.tgz, r-oldrel (arm64): WeibullModiAMR_0.1.0.tgz, r-release (x86_64): WeibullModiAMR_0.1.0.tgz, r-oldrel (x86_64): WeibullModiAMR_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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