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GPFDA (version 1.1)
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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Install
install.packages('GPFDA')
Monthly Downloads
325
Version
1.1
License
GPL-3
Maintainer
Yafeng Cheng
Last Published
April 2nd, 2014
Functions in GPFDA (1.1)
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gpfr
Gaussian Process in functional data.
D2
Second derivative of the likelihood
cov.rat.qu
Covariance function. Rational quadratic covariance function.
xixj_sta
Stationary kernel function component.
wrap
Wrap the input data into the certain format.
gpr
Gaussian Process regression for single curve
xixj
Linear kernel function component.
fdapred
Predict using result from learning the training data.
fdatrain
Learn the training data using functional data analysis.
co2
co2 data set for real example.
gpfrpred
Prediction of the Gaussian Process using functional regression
gppredict
Prediction of the Gaussian Process
GPFDA-package
Gaussian Process in Functional Data Analysis
wrap2
Wrapping function to get same sample for each repeated curve.
cov.linear
Covariance function. Linear covariance function.
cov.pow.ex
Covariance function. Powered exponential covariance function.