ccaPP-package: (Robust) Canonical Correlation Analysis via Projection...
In ccaPP: (Robust) Canonical Correlation Analysis via Projection Pursuit
ccaPP-package R Documentation
(Robust) Canonical Correlation Analysis via Projection Pursuit
Description
Canonical correlation analysis and maximum correlation via
projection pursuit, as well as fast implementations of correlation
estimators, with a focus on robust and nonparametric methods.
Details
The DESCRIPTION file:
This package was not yet installed at build time.
Index: This package was not yet installed at build time.
Author(s)
Andreas Alfons [aut, cre] (<https://orcid.org/0000-0002-2513-3788>),
David Simcha [ctb] (O(n log(n)) implementation of Kendall correlation)
Maintainer: Andreas Alfons <alfons@ese.eur.nl>
References
A. Alfons, C. Croux and P. Filzmoser (2016) Robust maximum association between
data sets: The R Package ccaPP. Austrian Journal of Statistics,
45(1), 71–79.
A. Alfons, C. Croux and P. Filzmoser (2016) Robust maximum association
estimators. Journal of the American Statistical Association,
112(517), 435–445.
ccaPP documentation built on Sept. 11, 2024, 8:20 p.m.
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| ccaPP-package | R Documentation |
(Robust) Canonical Correlation Analysis via Projection Pursuit
Description
Canonical correlation analysis and maximum correlation via projection pursuit, as well as fast implementations of correlation estimators, with a focus on robust and nonparametric methods.
Details
The DESCRIPTION file:
This package was not yet installed at build time.
Index: This package was not yet installed at build time.
Author(s)
Andreas Alfons [aut, cre] (<https://orcid.org/0000-0002-2513-3788>), David Simcha [ctb] (O(n log(n)) implementation of Kendall correlation)
Maintainer: Andreas Alfons <alfons@ese.eur.nl>
References
A. Alfons, C. Croux and P. Filzmoser (2016) Robust maximum association between data sets: The R Package ccaPP. Austrian Journal of Statistics, 45(1), 71–79.
A. Alfons, C. Croux and P. Filzmoser (2016) Robust maximum association estimators. Journal of the American Statistical Association, 112(517), 435–445.
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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