actuar: Actuarial Functions and Heavy Tailed Distributions

Canonical link: https://rscholar.com/pkg/actuar

Vincent Goulet • Sébastien Auclair • Christophe Dutang • Walter Garcia-Fontes • Nicholas Langevin • Xavier Milhaud • Tommy Ouellet • Alexandre Parent • Mathieu Pigeon • Louis-Philippe Pouliot • Jeffrey A. Ryan • Robert Gentleman • Ross Ihaka • R Core Team • R Foundation • View description and downloads View dependencies GitHub project

2006 Published

3.3-4 Version

0 Citations

15 Authors

Referenced by ⇅	Year
OpVaR: Statistical Methods for Modelling Operational Risk (Version 1.2)	2018
teachingApps: Apps for Teaching Statistics, R Programming, and Shiny App Development (Version 1.0.8)	2017
eoa3: Wildlife Mortality Estimator for Low Fatality Rates and Imperfect Detection (Version 1.0.0.1)	2023
episensr: Basic Sensitivity Analysis of Epidemiological Results (Version 1.3.0)	2015
AnnuityRIR: Annuity Random Interest Rates (Version 1.0-0)	2017
BTSPAS: Bayesian Time-Stratified Population Analysis (Version 2024.11.1)	2010
ChainLadder: Statistical Methods and Models for Claims Reserving in General Insurance (Version 0.2.19)	2007
CompDist: Multisection Composite Distributions (Version 1.0)	2017
CompPareto: Discrete Composite Distributions with Pareto Tails (Version 0.1.0)	2023
FMAdist: Frequentist Model Averaging Distribution (Version 0.1.2)	2019
GeneralizedHyperbolic: The Generalized Hyperbolic Distribution (Version 0.8-6)	2010
GeoModels: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis (Version 2.0.7)	2022
GofCens: Goodness-of-Fit Methods for Complete and Right-Censored Data (Version 1.2)	2021
HyperbolicDist: The Hyperbolic Distribution (Version 0.6-5)	2003
OneStep: One-Step Estimation (Version 0.9.4)	2020
PTSR: Positive Time Series Regression (Version 0.1.2)	2022
PhaseType: Inference for Phase-Type Distributions (Version 0.3.0)	2011
PredictionR: Prediction for Future Data from any Continuous Distribution (Version 1.0-12)	2018
ReliabilityTheory: Structural Reliability Analysis (Version 0.3.1)	2012
RobExtremes: Optimally Robust Estimation for Extreme Value Distributions (Version 1.3.1)	2018
SPLICE: Synthetic Paid Loss and Incurred Cost Experience (SPLICE) Simulator (Version 1.1.2)	2021
SynthETIC: Synthetic Experience Tracking Insurance Claims (Version 1.1.0)	2020
TidyDensity: Functions for Tidy Analysis and Generation of Random Data (Version 1.5.0)	2022
actuaRE: Handling Hierarchically Structured Risk Factors using Random Effects Models (Version 0.1.5)	2023
distributional: Vectorised Probability Distributions (Version 0.5.0)	2020
extraDistr: Additional Univariate and Multivariate Distributions (Version 1.10.0)	2016
fitdistrplus: Help to Fit of a Parametric Distribution to Non-Censored or Censored Data (Version 1.2-1)	2009
fitteR: Fit Hundreds of Theoretical Distributions to Empirical Data (Version 0.2.0)	2017
fitur: Fit Univariate Distributions (Version 0.6.2)	2017
flexmix: Flexible Mixture Modeling (Version 2.3-19)	2003
kendallRandomWalks: Simulate and Visualize Kendall Random Walks and Related Distributions (Version 0.9.4)	2018
mbbefd: Maxwell Boltzmann Bose Einstein Fermi Dirac Distribution and Destruction Rate Modelling (Version 0.8.12)	2013
orders: Sampling from k-th Order Statistics of New Families of Distributions (Version 0.1.8)	2019
proteus: Multiform Seq2Seq Model for Time-Feature Analysis (Version 1.1.4)	2021
raw: R Actuarial Workshops (Version 0.1.8)	2016
robmixglm: Robust Generalized Linear Models (GLM) using Mixtures (Version 1.2-4)	2018
ruin: Simulation of Various Risk Processes (Version 0.1.1)	2018
sageR: Applied Statistics for Economics and Management with R (Version 0.6.1)	2021
ssd4mosaic: Web Application for the SSD Module of the MOSAIC Platform (Version 1.0.1)	2024
ssdtools: Species Sensitivity Distributions (Version 2.1.0)	2018
stratifyR: Optimal Stratification of Univariate Populations (Version 1.0-3)	2018
survstan: Fitting Survival Regression Models via 'Stan' (Version 0.0.7.1)	2023
univariateML: Maximum Likelihood Estimation for Univariate Densities (Version 1.1.1)	2019

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