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 common interface to the
PCA results. Initiated at the Max-Planck Institute for
Molecular Plant Physiology, Golm, Germany.

A collection of PCA methods

package-ubuntu-20.04-r-4.0.5#cran#pcaMethods-1.82.0

Simulated data set looking like a helix

A matrix containing 1000 observations (rows) and three variables
(columns).

Matthias Scholz, Fatma Kaplan, Charles L. Guy, Joachim
Kopka and Joachim Selbig. - Non-linear PCA: a missing data
approach. Bioinformatics 2005 21(20):3887-3895

package-ubuntu-20.04-r-4.0.5#cran#pcaMethods-1.82.0#docs#helix

helix

Description

Usage

Details

Author(s)

References

pcaMethods

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