Author: 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].

Description: 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>.

Package: MixMAP
Type: Package
Title: Implements the MixMAP algorithm
Version: 1.0
Date: 2012-08-13
Author: Gregory J. Matthews
Maintainer: Gregory J. Matthews <gjm112@gmail.com>
Depends: R (>= 2.15.1),lme4, Matrix, methods
Description: This function implements the MixMAP algorithm, which
performs gene level tests of association using data from a
previous GWAS or data from a meta-analysis of several GWAS.
Conceptually, genes are detected as significant if the
collection of p-values within a gene are determined to be
collectively smaller than would be observed by chance.
License: GPL-3
Packaged: 2012-12-06 23:37:36 UTC; gregorymatthews
Repository: CRAN
Date/Publication: 2012-12-07 21:12:02

Description: This function implements the MixMAP algorithm, which performs gene
level tests of association using data from a previous GWAS or data from a
meta-analysis of several GWAS.  Conceptually, genes are detected as
significant if the collection of p-values within a gene are determined to
be collectively smaller than would be observed by chance.
Collate: 'MixMAP.R' 'MixMAPclass.R' 'plot.MixMAP.R' 'summary.MixMAP.R'
Packaged: 2013-07-30 20:42:24 UTC; gregorymatthews