An R package, plumber API, database, and Shiny App for Actuarial Loss Development and Reserving Workflows.
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Updated
Aug 17, 2024 - R
An R package, plumber API, database, and Shiny App for Actuarial Loss Development and Reserving Workflows.
An open-source Python framework for actuarial cash flow models
Revisiting Whittaker-Henderson Smoothing
educational tools for various topics using shiny dashboards and custom S4 class objects per topic
Tools for creating and working with aggregate probability distributions.
Pareto distribution (Type I) probability density function (PDF).
Natural logarithm of the probability density function (PDF) for a Pareto (Type I) distribution.
Welcome to the AI-Actuarial-Use-Cases repository! This is a collaborative space that focuses on the exploration and documentation of use cases for Artificial Intelligence (AI) within the field of actuarial science.
R-package for actuarial pricing
A Python package for survival analysis. The most flexible survival analysis package available. SurPyval can work with arbitrary combinations of observed, censored, and truncated data. SurPyval can also fit distributions with 'offsets' with ease, for example the three parameter Weibull distribution.
Farid FLICI personal webpage
Repository of GEMAct source code. Enjoy!
CRAN Task View: Actuarial Science
Common functions in actuarial and financial routines
R-package for spatial risk calculations
Systemorph IFRS 17 Calculation Engine
Research project 2020-2021
Life Actuarial Maths
Easily Reference and use Actuarial Mortality Tables
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