BetaDanish-package: BetaDanish: The Beta-Danish Distribution for Lifetime Data...
In BetaDanish: The Beta-Danish Distribution for Lifetime Data Analysis
BetaDanish-package R Documentation
BetaDanish: The Beta-Danish Distribution for Lifetime Data Analysis
Description
Implements the four-parameter Beta-Danish distribution and its three-parameter submodel for survival and reliability analysis, based on Ahmad and Danish (2025) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2478/jamsi-2025-0010")}. Provides functions for density, distribution, quantile, hazard, and random generation. Includes maximum likelihood estimation for complete and right-censored data, goodness-of-fit assessment, comparison with standard lifetime distributions, and publication-quality visualizations. Advanced modules support Accelerated Failure Time (AFT) regression, mixture and promotion-time cure models, and competing risks analysis.
Details
The 'BetaDanish' package provides a comprehensive suite of tools for survival
and reliability analysis using the Beta-Danish distribution. It includes core
mathematical functions (density, distribution, quantile, random generation,
and hazard), robust Maximum Likelihood Estimation (MLE) for both complete and
right-censored data, and advanced modeling capabilities including Accelerated
Failure Time (AFT) regression, cure-rate models, and competing risks analysis.
Author(s)
Maintainer: Bilal Ahmad bilalahmad.imcbh9@gmail.com
Authors:
Bilal Ahmad bilalahmad.imcbh9@gmail.com
Muhammad Yameen Danish yameen.danish@aiou.edu.pk
References
Ahmad, B. (2026). Modeling Diverse Survival Patterns: The Development and
Characterization of a New Four-Parameter Lifetime Distribution (Ph.D. Thesis).
Allama Iqbal Open University, Islamabad.
See Also
Useful links:
BetaDanish documentation built on May 20, 2026, 5:07 p.m.
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| BetaDanish-package | R Documentation |
BetaDanish: The Beta-Danish Distribution for Lifetime Data Analysis
Description
Implements the four-parameter Beta-Danish distribution and its three-parameter submodel for survival and reliability analysis, based on Ahmad and Danish (2025) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2478/jamsi-2025-0010")}. Provides functions for density, distribution, quantile, hazard, and random generation. Includes maximum likelihood estimation for complete and right-censored data, goodness-of-fit assessment, comparison with standard lifetime distributions, and publication-quality visualizations. Advanced modules support Accelerated Failure Time (AFT) regression, mixture and promotion-time cure models, and competing risks analysis.
Details
The 'BetaDanish' package provides a comprehensive suite of tools for survival and reliability analysis using the Beta-Danish distribution. It includes core mathematical functions (density, distribution, quantile, random generation, and hazard), robust Maximum Likelihood Estimation (MLE) for both complete and right-censored data, and advanced modeling capabilities including Accelerated Failure Time (AFT) regression, cure-rate models, and competing risks analysis.
Author(s)
Maintainer: Bilal Ahmad bilalahmad.imcbh9@gmail.com
Authors:
Bilal Ahmad bilalahmad.imcbh9@gmail.com
Muhammad Yameen Danish yameen.danish@aiou.edu.pk
References
Ahmad, B. (2026). Modeling Diverse Survival Patterns: The Development and Characterization of a New Four-Parameter Lifetime Distribution (Ph.D. Thesis). Allama Iqbal Open University, Islamabad.
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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