Last data update: 2014.03.03

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rrlda : Robust Regularized Linear Discriminant Analysis

Package: rrlda
Version: 1.1
Type: Package
Title: Robust Regularized Linear Discriminant Analysis
Date: 2011-09-18
Author: Moritz Gschwandtner, Peter Filzmoser, Christophe Croux,
Gentiane Haesbroeck
Maintainer: Moritz Gschwandtner <moritz.gschwandtner@chello.at>
Depends: pcaPP, mvoutlier, glasso, matrixcalc
Description: This package offers methods to perform robust regularized
linear discriminant analysis.
License: GPL (>= 3)
Packaged: 2012-06-09 16:19:42 UTC; Moritz
Repository: CRAN
Date/Publication: 2012-06-09 16:50:10

● Data Source: CranContrib
● 0 images, 3 functions, 0 datasets
● Reverse Depends: 0

qrfactor : Simultaneous simulation of Q and R mode factor analyses with Spatial data

Package: qrfactor
Type: Package
Title: Simultaneous simulation of Q and R mode factor analyses with
Spatial data
Version: 1.4
Date: 2014-01-02
Author: George Owusu <owusugeorge@ug.edu.gh>
Maintainer: George Owusu <gowusu@gmail.com>
Depends: R (>= 2.10), mvoutlier, mgraph, pvclust, cluster, maptools
Suggests: MASS
Description: The qrfactor package simultaneously runs both Q and R mode factor analyses. The package contains only one function called qrfactor() that can perform PCA, R-mode Factor Analysis, Q-mode Factor Analysis, Simultaneous R- and Q-mode Factor Analysis, Principal Coordinate Analysis, as wells as Multidimensional Scaling (MDS). Loadings and scores can easily be computed from the simulation.The plot.qrfactor() function offers several annotated biplots for all possible combinations of eigenvectors, loadings, and scores. Input data includes shapefiles, tables and dataframe
URL: http://www.openictghana.com/qrfactor
License: GPL-2
Packaged: 2014-01-02 22:49:45 UTC; george
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-01-03 01:12:57

● Data Source: CranContrib
● 0 images, 2 functions, 0 datasets
● Reverse Depends: 0