| GPFDA-package | Gaussian Process in Functional Data Analysis |
| betaPar | Create an fdPar object |
| co2 | co2 data set for real example. |
| cov.linear | Covariance function. Linear covariance function. |
| cov.pow.ex | Covariance function. Powered exponential covariance function. |
| cov.rat.qu | Covariance function. Rational quadratic covariance function. |
| D2 | Second derivative of the likelihood |
| GPFDA | Gaussian Process in Functional Data Analysis |
| gpfr | Gaussian Process in functional data. |
| gpfrpred | Prediction of the Gaussian Process using functional regression |
| gppredict | Prediction of the Gaussian Process |
| gpr | Gaussian Process regression for single curve |
| mat2fd | Create an fd object from a matrix |
| plot.gpfr | Plot Gaussian Process regression with functional mean for either training or predicting |
| plot.gpr | Plot Gaussian Process training or predicting |
| xixj | Linear kernel function component. |
| xixj_sta | Stationary kernel function component. |