Tools for Analyzing Finite Mixture Models R package mixtools version 2.0.0.1 CRAN Task View: Cluster (https://CRAN.R-project.org/view=Cluster) CRAN Task View: Distributions (https://CRAN.R-project.org/view=Distributions) Analyzes finite mixture models for various parametric and semiparametric settings. This includes mixtures of parametric distributions (normal, multivariate normal, multinomial, gamma), various Reliability Mixture Models (RMMs), mixtures-of-regressions settings (linear regression, logistic regression, Poisson regression, linear regression with changepoints, predictor-dependent mixing proportions, random effects regressions, hierarchical mixtures-of-experts), and tools for selecting the number of components (bootstrapping the likelihood ratio test statistic, mixturegrams, and model selection criteria). Bayesian estimation of mixtures-of-linear-regressions models is available as well as a novel data depth method for obtaining credible bands. This package is based upon work supported by the National Science Foundation under Grant No. SES-0518772 and the Chan Zuckerberg Initiative: Essential Open Source Software for Science (Grant No. 2020-255193). Software Depends: R (>= 4.0.0) Imports: kernlab, MASS, plotly, scales, segmented, stats, survival Derek Young <derek.young@uky.edu> Comprehensive R Archive Network (CRAN) Derek Young [aut, cre] (ORCID: <https://orcid.org/0000-0002-3048-3803>), Tatiana Benaglia [aut], Didier Chauveau [aut], David Hunter [aut], Kedai Cheng [aut], Ryan Elmore [ctb], Thomas Hettmansperger [ctb], Hoben Thomas [ctb], Fengjuan Xuan [ctb] GPL (>= 2) 2025-03-08 application/tgz https://CRAN.R-project.org/package=mixtools doi:10.32614/CRAN.package.mixtools