pcaMethods: pcaMethods
In hredestig/pcaMethods: A collection of PCA methods
pcaMethods R Documentation
pcaMethods
Description
Principal Component Analysis in R
Details
Package: pcaMethods
Type: Package
Developed since: 2006
License: GPL (>=3)
LazyLoad: yes
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. Developed at the
Max-Planck Institute for Molecular Plant Physiology, Golm,
Germany, RIKEN Plant Science Center Yokohama, Japan, and CAS-MPG
Partner Institute for Computational Biology (PICB) Shanghai,
P.R. China
Author(s)
Wolfram Stacklies, Henning Redestig
hredestig/pcaMethods documentation built on Sept. 30, 2023, 10:38 a.m.
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| pcaMethods | R Documentation |
pcaMethods
Description
Principal Component Analysis in R
Details
| Package: | pcaMethods |
| Type: | Package |
| Developed since: | 2006 |
| License: | GPL (>=3) |
| LazyLoad: | yes |
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. Developed at the Max-Planck Institute for Molecular Plant Physiology, Golm, Germany, RIKEN Plant Science Center Yokohama, Japan, and CAS-MPG Partner Institute for Computational Biology (PICB) Shanghai, P.R. China
Author(s)
Wolfram Stacklies, Henning Redestig
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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