mixture

An implementation of 14 parsimonious mixture models for model-based clustering or model-based classification. Gaussian, Student's t, generalized hyperbolic, variance-gamma or skew-t mixtures are available. All approaches work with missing data. Celeux and Govaert (1995) doi:10.1016/0031-3203(94)00125-6, Browne and McNicholas (2014) doi:10.1007/s11634-013-0139-1, Browne and McNicholas (2015) doi:10.1002/cjs.11246.