Man pages for GPFDA
Gaussian Process for Functional Data Analysis
| calcScaleDistMats | Calculate matrices for NSGP covariance function |
| 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 |
| GPFDA | GPFDA: A package for Gaussian Process Regression for... |
| 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... |
| mgpr | Multivariate Gaussian process regression (MGPR) model |
| mgprPredict | Prediction of MGPR model |
| nsgpCovMat | Calculate a NSGP covariance matrix given a vector of... |
| nsgpCovMatAsym | Calculate an asymmetric NSGP covariance matrix |
| nsgpr | Estimation of a nonseparable and/or nonstationary covariance... |
| 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 |
| plotImage | Draw an image plot for a given two-dimensional input |
| plotmgpCovFun | Plot auto- or cross-covariance function of a multivariate... |
| plot.mgpr | Plot predictions of GPR model |
| unscaledCorr | Calculate an unscaled NSGP correlation matrix |
