pcaMethods
A collection of PCA methods.
Provides Bayesian PCA, Probabilistic PCA, Nipals PCA,
Inverse Non-Linear PCA and the conventional SVD PCA. A cluster
based method for missing value estimation is included for
comparison. BPCA, PPCA and NipalsPCA may be used to perform PCA
on incomplete data as well as for accurate missing value
estimation. A set of methods for printing and plotting the
results is also provided. All PCA methods make use of the same
data structure (pcaRes) to provide a unique interface to the
PCA results. Initiated at the Max-Planck Institute for
Molecular Plant Physiology, Golm, Germany. Now developed at
CAS-MPG Partner Institute for Computational Biology (PICB)
Shanghai, P.R. China and RIKEN Plant Science Center, Yokohama
Japan.
| Author |
Wolfram Stacklies, Henning Redestig, Kevin Wright |
| Maintainer |
Wolfram Stacklies |
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("pcaMethods")
Documentation
Details
| biocViews |
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| Depends |
Biobase
,
MASS
,
pls
,
methods
,
Rcpp
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| Imports |
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| Suggests |
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| System Requirements |
Rcpp |
| License |
GPL (>= 3) |
| URL |
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| Depends On Me |
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| Imports Me |
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| Suggests Me |
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Package Downloads