funpca-package: Functional Principal Component Analysis

In funpca: Functional Principal Component Analysis

Functional Principal Component Analysis

Description

Performs functional principal component analysis using the mixed models representation of smoothing splines.

Details

Package:	fpcamm
Version:	1.0
Date:	2023-06-08
Depends:	Brobdingnag, MASS, nlme

Index:

funpca                    Performs FPCA using the MM representation of
                          penalized splines.
plot.funpca   	          Plots fitted curves: overall trend, subj spec
                          deviations and derivative of the mean curve.
summary.funpca            Summary of individual fits.

The function funpca() is used to fit the model. Using the resulting funpca object, fitted curves or their derivatives can be plotted with plot and summary information on the fit can be printed using summary.

Author(s)

Francisco Rosales Maintainer: Francisco Rosales [e-mail]

References

Rosales, F.
For more details see <https://ediss.uni-goettingen.de/handle/11858/00-1735-0000-0028-87F9-6>

See Also

fda (package fda)

funpca documentation built on July 10, 2023, 2:03 a.m.