Description Usage Arguments Value

View source: R/gaussianProcess.R

Create a gaussianProcess object with a given mean function and covariance kernel, and data

1 2 | ```
gaussianProcess(X, y, meanFunc = zeroFunction, kernel = rbf,
hyper.params = NULL, noise.var = 1, order = 5/2, verbose = 0)
``` |

`X` |
An n x d matrix of covariates for observed data |

`y` |
An n dimensional vector of outputs for observed data |

`meanFunc` |
The mean function of the process, defaults to 0 |

`kernel` |
The covariance kernel of the process, defaults to rbf |

`hyper.params` |
The hyper parameters for the kernel
( |

`noise.var` |
The variance of the noise around the function |

`order` |
The order of the kernel, defaults to 5/2 |

`verbose` |
Level of information printed out, defaults to 0 |

A gaussianProcess with these options

ebenmichael/gaussianProcess documentation built on May 13, 2017, 10:58 a.m.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.