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license: GPL-2.0-or-later
title: 'mixR: Finite Mixture Modeling for Raw and Binned Data'
version: 0.2.1
doi: 10.32614/CRAN.package.mixR
abstract: Performs maximum likelihood estimation for finite mixture models for families
  including Normal, Weibull, Gamma and Lognormal by using EM algorithm, together with
  Newton-Raphson algorithm or bisection method when necessary. It also conducts mixture
  model selection by using information criteria or bootstrap likelihood ratio test.
  The data used for mixture model fitting can be raw data or binned data. The model
  fitting process is accelerated by using R package 'Rcpp'.
authors:
- family-names: Yu
  given-names: Youjiao
  email: jiaoisjiao@gmail.com
repository: https://CRAN.R-project.org/package=mixR
date-released: '2024-10-19'
contact:
- family-names: Yu
  given-names: Youjiao
  email: jiaoisjiao@gmail.com