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GPFDA (version 2.2)

Apply Gaussian Process in Functional data analysis

Description

Use functional regression as the mean structure and Gaussian Process as the covariance structure.

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Version

Install

install.packages('GPFDA')

Monthly Downloads

271

Version

2.2

License

GPL-3

Maintainer

Yafeng Cheng

Last Published

September 29th, 2014

Functions in GPFDA (2.2)

betaPar

Create an fdPar object
gppredict

Prediction of the Gaussian Process
gpfr

Gaussian Process in functional data.
D2

Second derivative of the likelihood
gpr

Gaussian Process regression for single curve
co2

co2 data set for real example.
cov.linear

Covariance function. Linear covariance function.
cov.rat.qu

Covariance function. Rational quadratic covariance function.
cov.pow.ex

Covariance function. Powered exponential covariance function.
gpfrpred

Prediction of the Gaussian Process using functional regression
mat2fd

Create an fd object from a matrix
plot.gpr

Plot Gaussian Process training or predicting
plot.gpfr

Plot Gaussian Process regression with functional mean for either training or predicting
GPFDA-package

Gaussian Process in Functional Data Analysis
xixj_sta

Stationary kernel function component.
xixj

Linear kernel function component.