# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "MixStable" in publications use:' type: software license: GPL-3.0-only title: 'MixStable: Parameter Estimation for Stable Distributions and Their Mixtures' version: 0.1.0 doi: 10.32614/CRAN.package.MixStable abstract: Provides various functions for parameter estimation of one-dimensional stable distributions and their mixtures. It implements a diverse set of estimation methods, including quantile-based approaches, regression methods based on the empirical characteristic function (empirical, kernel, and recursive), and maximum likelihood estimation. For mixture models, it provides stochastic expectation–maximization (SEM) algorithms and Bayesian estimation methods using sampling and importance sampling to overcome the long burn-in period of Markov Chain Monte Carlo (MCMC) strategies. The package also includes tools and statistical tests for analyzing whether a dataset follows a stable distribution. Some of the implemented methods are described in Hajjaji, O., Manou-Abi, S. M., and Slaoui, Y. (2024) . authors: - family-names: Manou-Abi given-names: Solym email: solym.manou.abi@univ-poitiers.fr - family-names: Najib given-names: Adam email: najibadam145@gmail.com - family-names: Slaoui given-names: Yousri email: Yousri.Slaoui@math.univ-poitiers.fr repository: https://cran.r-universe.dev commit: d869cc7ba6913ffb48f211b359d2593b30b85d26 date-released: '2025-11-03' contact: - family-names: Manou-Abi given-names: Solym email: solym.manou.abi@univ-poitiers.fr