Gaussian Process for Functional Data Analysis

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Documentation for package ‘GPFDA’ version 3.1.3

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

calcScaleDistMats	Calculate matrices for NSGP covariance function
cov.linear	Calculate a covariance matrix
cov.matern	Calculate a covariance matrix
cov.pow.ex	Calculate a covariance matrix
cov.rat.qu	Calculate a covariance matrix
covMat	Calculate a covariance matrix
D2	Second derivative of the likelihood
dataExampleGPFR	Data simulated in the GPFR example
dataExampleMGPR	Data simulated in the MGPR example
distanceMatrix	Calculate generalised distances
distMat	Calculate generalised distances
distMatLinear	Calculate generalised distances
distMatLinearSq	Calculate generalised distances
distMatSq	Calculate generalised distances
gpfr	Gaussian process functional regression (GPFR) model
gpfrPredict	Prediction of GPFR model
gpr	Gaussian process regression (GPR) model
gprPredict	Prediction of GPR model
mat2fd	Create an 'fd' object from a matrix
mgpCovMat	Calculate a multivariate Gaussian processes covariance matrix given a vector of hyperparameters
mgpr	Multivariate Gaussian process regression (MGPR) model
mgprPredict	Prediction of MGPR model
nsgpCovMat	Calculate a NSGP covariance matrix given a vector of hyperparameters
nsgpCovMatAsym	Calculate an asymmetric NSGP covariance matrix
nsgpr	Estimation of a nonseparable and/or nonstationary covariance structure (NSGPR model)
nsgprPredict	Prediction of NSGPR model
plot.gpfr	Plot GPFR model for either training or prediction
plot.gpr	Plot GPR model for either training or prediction
plot.mgpr	Plot predictions of GPR model
plotImage	Draw an image plot for a given two-dimensional input
plotmgpCovFun	Plot auto- or cross-covariance function of a multivariate Gaussian process
unscaledCorr	Calculate an unscaled NSGP correlation matrix