R Graphical Manual

Last data update: 2014.03.03

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Results 1 - 2 of 2 found.
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muma : Metabolomics Univariate and Multivariate Analysis

Package: muma
Type: Package
Title: Metabolomics Univariate and Multivariate Analysis
Version: 1.4
Date: 2012-12-2
Author: Edoardo Gaude, Francesca Chignola, Dimitrios Spiliotopoulos,
Silvia Mari, Andrea Spitaleri and Michela Ghitti
Maintainer: Edoardo gaude <egaude541@gmail.com>
Depends: car, pdist, pls, gplots, mvtnorm, robustbase, gtools, bitops,
caTools, pcaPP, rrcov
Description: Preprocessing of high-throughput data (normalization and
scalings); Principal Component Analysis with help tool for
choosing best-separating principal components and automatic
testing for outliers; automatic univariate analysis for
parametric and non-parametric data, with generation of specific
reports (volcano and box plots); partial least square
discriminant analysis (PLS-DA); orthogonal partial least square
discriminant analysis (OPLS-DA); Statistical Total Correlation
Spectroscopy (STOCSY); Ratio Analysis Nuclear Magnetic
Resonance (NMR) Spectroscopy (RANSY).
License: GPL-2
Packaged: 2012-12-02 22:58:13 UTC; egaude
Repository: CRAN
Date/Publication: 2012-12-03 18:20:37

● Data Source: CranContrib
● 0 images, 25 functions, 0 datasets
● Reverse Depends: 0

PrevMap : Geostatistical Modelling of Spatially Referenced Prevalence Data

Package: PrevMap
Type: Package
Title: Geostatistical Modelling of Spatially Referenced Prevalence Data
Version: 1.3.2
Date: 2015-12-01
Author: Emanuele Giorgi, Peter J. Diggle
Maintainer: Emanuele Giorgi <e.giorgi@lancaster.ac.uk>
Imports: splancs, truncnorm, methods
Depends: geoR, maxLik, raster, pdist
Description: It provides functions for both likelihood-based
and Bayesian analysis of spatially referenced prevalence data, and is
also an extension of the 'geoR' package.
LazyData: true
License: GPL (>= 2)
RoxygenNote: 5.0.0
NeedsCompilation: no
Packaged: 2015-12-04 11:01:11 UTC; giorgi
Repository: CRAN
Date/Publication: 2015-12-05 15:35:31

● Data Source: CranContrib
● 0 images, 36 functions, 2 datasets
● Reverse Depends: 0