The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

ActuarialM: Computation of Actuarial Measures Using Bell G Family

It computes two frequently applied actuarial measures, the expected shortfall and the value at risk. Seven well-known classical distributions in connection to the Bell generalized family are used as follows: Bell-exponential distribution, Bell-extended exponential distribution, Bell-Weibull distribution, Bell-extended Weibull distribution, Bell-Lomax distribution, Bell-Burr-12 distribution, and Bell-Burr-X distribution. Related works include: a) Fayomi, A., Tahir, M. H., Algarni, A., Imran, M., & Jamal, F. (2022). "A new useful exponential model with applications to quality control and actuarial data". Computational Intelligence and Neuroscience, 2022. <doi:10.1155/2022/2489998>. b) Alsadat, N., Imran, M., Tahir, M. H., Jamal, F., Ahmad, H., & Elgarhy, M. (2023). "Compounded Bell-G class of statistical models with applications to COVID-19 and actuarial data". Open Physics, 21(1), 20220242. <doi:10.1515/phys-2022-0242>.

Version: 0.1.0
Depends: R (≥ 2.0)
Imports: stats
Published: 2023-05-15
DOI: 10.32614/CRAN.package.ActuarialM
Author: Muhammad Imran [aut, cre], M.H. Tahir [aut], Saima Shakoor [aut]
Maintainer: Muhammad Imran <imranshakoor84 at yahoo.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: ActuarialScience
CRAN checks: ActuarialM results

Documentation:

Reference manual: ActuarialM.pdf

Downloads:

Package source: ActuarialM_0.1.0.tar.gz
Windows binaries: r-devel: ActuarialM_0.1.0.zip, r-release: ActuarialM_0.1.0.zip, r-oldrel: ActuarialM_0.1.0.zip
macOS binaries: r-release (arm64): ActuarialM_0.1.0.tgz, r-oldrel (arm64): ActuarialM_0.1.0.tgz, r-release (x86_64): ActuarialM_0.1.0.tgz, r-oldrel (x86_64): ActuarialM_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ActuarialM to link to this page.

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.