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ActuarialM
View on CRAN: Click
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Download and install ActuarialM package within the R console
Install from CRAN:
install.packages("ActuarialM")
Install from Github:
library("remotes")
install_github("cran/ActuarialM")
Install by package version:
library("remotes")
install_version("ActuarialM", "0.1.0")
Attach the package and use:
library("ActuarialM")
Maintained by
Muhammad Imran
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-05-15
Latest Update: 2023-05-15
Description:
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. .
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. .
How to cite:
Muhammad Imran (2023). ActuarialM: Computation of Actuarial Measures Using Bell G Family. R package version 0.1.0, https://cran.r-project.org/web/packages/ActuarialM. Accessed 21 Nov. 2024.
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Complete documentation for ActuarialM
Functions, R codes and Examples using
the ActuarialM R package
Some associated functions: ActuarialM-package . BellB12 . BellBX . BellEE . BellEW . BellExp . BellL . BellWei .
Some associated R codes: eBellB12.R . eBellBX.R . eBellE.R . eBellEE.R . eBellEW.R . eBellL.R . eBellW.R . vBellB12.R . vBellBX.R . vBellE.R . vBellEE.R . vBellEW.R . vBellL.R . vBellW.R . Full ActuarialM package functions and examples
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