• # mixsmsn

• Referenced in 51 articles [sw06064]
• Fitting Finite Mixture of Scale Mixture of Skew-Normal Distributions. Functions to fit finite mixture ... scale mixture of skew-normal (FM-SMSN) distributions...
• # MixSim

• Referenced in 37 articles [sw07914]
• Clustering Algorithms. MixSim allows simulating mixtures of Gaussian distributions with different levels of overlap between ... computing the exact overlap for Gaussian mixtures, simulating Gaussian and non-Gaussian data, simulating outliers ... constructing parallel distribution plots for the graphical display of finite mixture models...
• # Latent GOLD

• Referenced in 94 articles [sw11673]
• related field of finite mixture (FM) models for multivariate normal distributions began to emerge, through ... that is assumed to arise as a mixture from a finite number of distinctly different...
• # MixGHD

• Referenced in 14 articles [sw18474]
• Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions. Carries out model-based clustering, classification ... model ’MGHD’ is the classical mixture of generalized hyperbolic distributions. The ’MGHFA’ is the mixture ... data sets. The ’MSGHD’, mixture of multiple scaled generalized hyperbolic distributions. The ’cMSGHD ... contour plots. The ’MCGHD’, mixture of coalesced generalized hyperbolic distributions is a new more flexible...
• # ContaminatedMixt

• Referenced in 19 articles [sw21014]
• Package for Fitting Parsimonious Mixtures of Multivariate Contaminated Normal Distributions. We introduce the R package ... disseminate the use of mixtures of multivariate contaminated normal distributions as a tool for robust ... from the more popular mixtures of multivariate normal and t distributions, this approach also allows...
• # glmmAK

• Referenced in 28 articles [sw13218]
• random effects whose distribution is specified as a penalized normal mixture are implemented. The methodology ... with a penalized Gaussian mixture as a random-effects distribution. Computational Statistics and Data Analysis...
• # CensMixReg

• Referenced in 12 articles [sw21090]
• data using the multivariate student-t distribution. Finite mixture models have been widely used ... data based on finite mixtures of multivariate Student-$t$ distributions. This approach allows ... skewness depending on the structure of the mixture components. We develop an analytically simple ... variance of the multivariate truncated Student-$t$ distributions. Further, a general information-based method...
• # blasso

• Referenced in 13 articles [sw06769]
• characterizations of the class of prior distributions are introduced: a properly normalized, direct characterization, which ... alternate representation as a scale mixture of normal distributions. Prior distributions are proposed...
• # EMCluster

• Referenced in 6 articles [sw24496]
• Model-Based Clustering of Finite Mixture Gaussian Distribution. EM algorithms and several efficient initialization methods ... model-based clustering of finite mixture Gaussian distribution with unstructured dispersion in both of unsupervised...
• # MitISEM

• Referenced in 4 articles [sw23111]
• package MitISEM: Mixture of Student t Distributions using Importance Sampling and Expectation Maximization. Flexible multivariate ... using adapted Mixture of Student t Distributions. Mixture of t distribution is obtained using Importance...