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GPFDA (version 0.1)

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

212

Version

0.1

License

GPL-3

Maintainer

Yafeng Cheng

Last Published

December 29th, 2013

Functions in GPFDA (0.1)

fdapred

Predict using result from learning the training data.
xixj

Linear kernel function component.
fdatrain

Learn the training data using functional data analysis.
cov.rat.qu

Covariance function. Rational quadratic covariance function.
cov.linear

Covariance function. Linear covariance function.
gppredict

Prediction of the Gaussian Process
GPFDA-package

Gaussian Process in Functional Data Analysis
wrap

Wrap the input data into the certain format.
gpfr

Gaussian Process in functional data.
wrap2

Wrapping function to get same sample for each repeated curve.
D2

Second derivative of the likelihood
co2

Data used in the real data example. It is obtained from http://cdiac.esd.ornl.gov/ftp/trends/co2/maunaloa.co2.
xixj_sta

Stationary kernel function component.
cov.pow.ex

Covariance function. Powered exponential covariance function.
gpfrpred

Prediction of the Gaussian Process using functional regression
gpr

Gaussian Process regression for single curve