Title: Joint Approximate Diagonalization of a Set of Square Matrices
Description: Different algorithms to perform approximate joint diagonalization
of a finite set of square matrices. Depending on the algorithm,
orthogonal or non-orthogonal diagonalizer is found. These algorithms
are particularly useful in the context of blind source separation.

Original publications of the algorithms can be found in
Vollgraff and Obermayer <doi:10.1109/TSP.2006.877673>. An example of
application in the context of Brain-Computer Interfaces EEG denoising
can be found in Gouy-Pailler et al (2010) <doi:10.1109/TBME.2009.2032162>.

Title: Joint Mean and Covariance Estimation for Matrix-Variate Data
person("Roger", "Fan", email = "rogerfan@umich.edu",
Description: Jointly estimates two-group means and covariances
for matrix-variate data and calculates test statistics.
This package implements the algorithms defined in
Hornstein, Fan, Shedden, and Zhou (2018)
Packaged: 2019-05-03 21:33:25 UTC; michaelhornstein

Title: Joint N-Mixture Models for Site-Associated Species
Authors@R: c(person("Rafael", "de Andrade Moral", role = c("aut", "cre"), email = "rafael_moral@yahoo.com.br"), person("Clarice", "Garcia Borges Demetrio", role = "aut"), person("John", "Hinde", role = "aut"))
Author: Rafael de Andrade Moral [aut, cre], Clarice Garcia Borges Demetrio [aut], John Hinde [aut]
Depends: R (>= 3.0.0), methods, graphics, stats
Description: Fits univariate and joint N-mixture models for data on two unmarked site-associated species. Includes functions to estimate latent abundances through empirical Bayes methods.

Title: Risk estimation using the joint probability method
Author: Feifei Zheng, Michael Leonard, Seth Westra
Description: A bivariate integration method to estimate risk caused by two extreme and dependent forcing variables.

Title: Joint Segmentation of Multivariate (Copy Number) Signals
person("Pierre", "Neuvial", role = c("aut"),
person("Guillem", "Rigaill", role = "aut"))
Description: Methods for fast segmentation of multivariate
signals into piecewise constant profiles and for generating realistic
copy-number profiles. A typical application is the joint segmentation of total
DNA copy numbers and allelic ratios obtained from Single Nucleotide Polymorphism
(SNP) microarrays in cancer studies. The methods are described in Pierre-Jean,
Rigaill and Neuvial (2015) <doi:10.1093/bib/bbu026>.
Imports: acnr (>= 0.3.1), matrixStats (>= 0.6.0), DNAcopy
Suggests: PSCBS, R.cache, digest, changepoint (>= 1.0.2), knitr,
Packaged: 2017-11-27 14:02:18 UTC; mpierre-jean