Description Usage Arguments Value

A prediction frame is used to store a model prediction in a matrix. The columns of the matrix are "time" and one column per state. The prediction frame has attributes "deriv", the matrix of sensitivities with respect to "outer parameters" (see P), an attribute "sensitivities", the matrix of sensitivities with respect to the "inner parameters" (the model parameters, left-hand-side of the parameter transformation) and an attributes "parameters", the parameter vector of inner parameters to produce the prediction frame.

Prediction frames are usually the constituents of prediction lists (prdlist). They are
produced by Xs, Xd or Xf. When you define your own prediction functions,
see `P2X`

in prdfn, the result should be returned as a prediction frame.

1 2 |

`prediction` |
matrix of model prediction |

`deriv` |
matrix of sensitivities wrt outer parameters |

`sensitivities` |
matrix of sensitivitie wrt inner parameters |

`parameters` |
names of the outer paramters |

Object of class `prdframe`

, i.e. a matrix with other matrices and vectors as attributes.

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.