RDocumentation
Moon
Learn R
Search all packages and functions
⚠️
There's a newer version (3.1.3) of this package.
Take me there.
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.
Copy Link
Copy
Link to current version
Version
Version
3.1.3
3.1.2
3.1.1
3.1.0
3.0.0
2.2
2.0
1.1
1.0
0.1
Down Chevron
Install
install.packages('GPFDA')
Monthly Downloads
325
Version
0.1
License
GPL-3
Maintainer
Yafeng Cheng
Last Published
December 29th, 2013
Functions in GPFDA (0.1)
Search functions
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