Description Usage Details Value See Also Examples

Functions to define process distributions in the collocation inference package.

1 2 3 4 5 | ```
make.Dproc()
make.Cproc()
make.SSEproc()
``` |

All functions require `more`

to specify this distribution. This should be a list containing

`fn`

The distribution specified.`dfdx`

The derivative of`fn`

with respect to states.`dfdp`

The derivative of`fn`

with respect to parameters.`d2fdx2`

The second derivative of`fn`

with respect to states.`d2fdxdp`

The cross derivative of`fn`

with respect to states and parameters.

For `Cproc`

and `Dproc`

this should specify the distribution; for `SSEproc`

it
should specify the right hand side of a differential equation.

A list of functions that the process distribution

`make.Cproc` |
creates functions to evaluate the distribution of the derivative of the state vector given the current state for continuous-time systems. |

`make.Dproc` |
creates functions to evaluate the distribution of the next time point of the state vector given the current state for discrete-state systems. |

`make.SSEproc` |
treats the distribution of the derivative as an independent gaussian and cacluates weighted sums of squared errors between derivatives and the prediction from the current state. |

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ```
# FitzHugh-Nagumo Equations
proc = make.SSEproc()
proc$more = make.fhn()
# Henon Map
proc = make.Dproc()
proc$more = make.Henon
# SEIR with multivariate normal transitions
proc = make.Cproc()
proc$more = make.multinorm()
proc$more$more = c(make.SEIR(),make.var.SEIR())
``` |

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