Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions R package MixGHD version 2.3.7 CRAN Task View: Cluster (https://CRAN.R-project.org/view=Cluster) Carries out model-based clustering, classification and discriminant analysis using five different models. The models are all based on the generalized hyperbolic distribution. The first model 'MGHD' (Browne and McNicholas (2015) <doi:10.1002/cjs.11246>) is the classical mixture of generalized hyperbolic distributions. The 'MGHFA' (Tortora et al. (2016) <doi:10.1007/s11634-015-0204-z>) is the mixture of generalized hyperbolic factor analyzers for high dimensional data sets. The 'MSGHD' is the mixture of multiple scaled generalized hyperbolic distributions, the 'cMSGHD' is a 'MSGHD' with convex contour plots and the 'MCGHD', mixture of coalesced generalized hyperbolic distributions is a new more flexible model (Tortora et al. (2019)<doi:10.1007/s00357-019-09319-3>. The paper related to the software can be found at <doi:10.18637/jss.v098.i03>. Software Depends: MASS, R (>= 3.1.3) Imports: Bessel,stats, mvtnorm, ghyp, numDeriv, mixture, e1071,cluster, methods Cristina Tortora <grikris1@gmail.com> Comprehensive R Archive Network (CRAN) Cristina Tortora [aut, cre, cph], Aisha ElSherbiny [com], Ryan P. Browne [aut, cph], Brian C. Franczak [aut, cph], and Paul D. McNicholas [aut, cph], and Donald D. Amos [ctb]. GPL (>= 2) 2022-05-11 application/tgz https://CRAN.R-project.org/package=MixGHD doi:10.32614/CRAN.package.MixGHD