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Evaluates the probability density function (PDF), cumulative distribution function (CDF), quantile function (QF), random numbers and maximum likelihood estimates (MLEs) of well-known complementary binomial-G, complementary negative binomial-G and complementary geometric-G families of distributions taking baseline models such as exponential, extended exponential, Weibull, extended Weibull, Fisk, Lomax, Burr-XII and Burr-X. The functions also allow computing the goodness-of-fit measures namely the Akaike-information-criterion (AIC), the Bayesian-information-criterion (BIC), the minimum value of the negative log-likelihood (-2L) function, Anderson-Darling (A) test, Cramer-Von-Mises (W) test, Kolmogorov-Smirnov test, P-value and convergence status. Moreover, some commonly used data sets from the fields of actuarial, reliability, and medical science are also provided. Related works include: a) Tahir, M. H., & Cordeiro, G. M. (2016). Compounding of distributions: a survey and new generalized classes. Journal of Statistical Distributions and Applications, 3, 1-35. <doi:10.1186/s40488-016-0052-1>.
| Version: | 0.2.0 |
| Depends: | R (≥ 2.0) |
| Imports: | AdequacyModel, graphics, stats |
| Published: | 2023-05-15 |
| DOI: | 10.32614/CRAN.package.ComRiskModel |
| Author: | Muhammad Imran [aut, cre], M.H Tahir [aut] |
| Maintainer: | Muhammad Imran <imranshakoor84 at yahoo.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| In views: | Distributions |
| CRAN checks: | ComRiskModel results |
| Reference manual: | ComRiskModel.pdf |
| Package source: | ComRiskModel_0.2.0.tar.gz |
| Windows binaries: | r-devel: ComRiskModel_0.2.0.zip, r-release: ComRiskModel_0.2.0.zip, r-oldrel: ComRiskModel_0.2.0.zip |
| macOS binaries: | r-release (arm64): ComRiskModel_0.2.0.tgz, r-oldrel (arm64): ComRiskModel_0.2.0.tgz, r-release (x86_64): ComRiskModel_0.2.0.tgz, r-oldrel (x86_64): ComRiskModel_0.2.0.tgz |
| Old sources: | ComRiskModel archive |
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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.