actuar
Actuarial Functions and Heavy Tailed Distributions
Functions and data sets for actuarial science: modeling of loss distributions; risk theory and ruin theory; simulation of compound models, discrete mixtures and compound hierarchical models; credibility theory. Support for many additional probability distributions to model insurance loss size and frequency: 23 continuous heavy tailed distributions; the Poisson-inverse Gaussian discrete distribution; zero-truncated and zero-modified extensions of the standard discrete distributions. Support for phase-type distributions commonly used to compute ruin probabilities. Main reference: doi:10.18637/jss.v025.i07. Implementation of the Feller-Pareto family of distributions: doi:10.18637/jss.v103.i06.
- Version3.3-6
- R versionR (≥ 4.1.0)
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- actuar citation info
- Last release07/08/2025
Documentation
- VignetteIntroduction to actuar
- VignetteComplete formulas used by coverage
- VignetteCredibility theory
- VignetteAdditional continuous and discrete distributions
- VignetteLoss distributions modeling
- VignetteRisk and ruin theory
- VignetteSimulation of insurance data
- MaterialNEWS
- In ViewsActuarialScience
- In ViewsDistributions
- In ViewsFinance
Team
- Vincent GouletMaintainerShow author details
- Xavier MilhaudShow author detailsRolesContributor
- Tommy OuelletShow author detailsRolesContributor
- Robert GentlemanShow author detailsRolesAuthor
- Christophe Dutang
- Mathieu PigeonShow author detailsRolesAuthor
- R Core Team
- Walter Garcia-FontesShow author detailsRolesContributor
- Jeffrey A. RyanShow author detailsRolesAuthor
- Sébastien AuclairShow author detailsRolesContributor
- R FoundationShow author detailsRolesAuthor
- Louis-Philippe PouliotShow author detailsRolesContributor
- Nicholas LangevinShow author detailsRolesContributor
- Ross IhakaShow author detailsRolesAuthor
- Alexandre ParentShow author detailsRolesContributor
Insights
Last 30 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports1 package
- Suggests1 package
- Linking To1 package
- Reverse Depends1 package
- Reverse Imports21 packages
- Reverse Suggests17 packages