Author: Suren Rathnayake, Geoff McLachlan, David Peel, Jungsun Baek

Title: The EM Algorithm and Skew Mixture Distribution
Description: EM algorithm for Mixture of Multivariate Skew Normal/T Distributions
Author: Kui Wang, Angus Ng and Geoff McLachlan.

Description: EM algorithm for Fitting Mixture of Multivariate Skew Normal and Skew t Distributions. An implementation of the algorithm described in Wang, Ng, and McLachlan (2009) <doi:10.1109/DICTA.2009.88>.

Title: Fitting Unrestricted Multivariate Skew t Mixture Models
Description: Functions to fit finite mixture of unrestricted multivariate skew t (FM-uMST) model, random sample generation, discriminant analysis, 2D and 3D contour plots
Suggests: rgl, stats, grDevices, KernSmooth

Title: A Maximum Likelihood Approach to the Analysis of Modularity
Author: Anjali Goswami, Tim Lucas, Prabu Sivasubramaniam, John Finarelli
Description: Fit models of modularity to morphological landmarks. Perform model
selection on results. Fit models with a single within-module correlation or
with separate within-module correlations fitted to each module.

Packaged: 2016-07-01 08:28:16 UTC; timcdlucas

Title: Fitting mixed models with known covariance structures.
Description: The main functions are emmreml, and emmremlMultiKernel. emmreml solves a mixed model with known covariance structure. emmremlMultiKernel is a wrapper for emmreml to handle multiple random components with known covariance structures.
Packaged: 2014-02-25 23:01:05 UTC; denizakdemir

Author: Deniz Akdemir, Okeke Uche Godfrey
Description: The main functions are emmreml, and emmremlMultiKernel.emmreml solves a mixed model with known covariance structure using the EMMA algorithm . emmremlMultiKernel is a wrapper for emmreml to handle multiple random components with known covariance structures. The function emmremlMultivariate solves a multivariate gaussian mixed model with known covariance structure using the ECM algorithm.
Packaged: 2014-05-24 01:28:07 UTC; denizakdemir

Title: Fitting Mixed Models with Known Covariance Structures
Description: The main functions are 'emmreml', and 'emmremlMultiKernel'. 'emmreml' solves a mixed model with known covariance structure using the 'EMMA' algorithm.  'emmremlMultiKernel' is a wrapper for 'emmreml' to handle multiple random components with known covariance structures. The function 'emmremlMultivariate' solves a multivariate gaussian mixed model with known covariance structure using the 'ECM' algorithm.
Packaged: 2015-03-31 18:03:54 UTC; denizakdemir