Description Objects from the Class Slots Methods Author(s) See Also Examples

S4 class for predefined PVA models.

Objects can be created by calls of the form `new("pvamodel", ...)`

.

`growth.model`

:Object of class

`"character"`

, name of growth model.`obs.error`

:Object of class

`"character"`

, name of observation error type (`"none"`

,`"poisson"`

,`"normal"`

).`model`

:Object of class

`"dcModel"`

, BUGS model for estimation.`genmodel`

:Object of class

`"dcModel"`

, BUGS model for prediction.`p`

:Object of class

`"integer"`

, number of parameters in model (including fixed parameters!).`support`

:Object of class

`"matrix"`

, range of support for parameters (true parameter scale).`params`

:Object of class

`"character"`

, parameter names (diagnostic scale).`varnames`

:Object of class

`"character"`

, parameter names (true parameter scale).`fixed`

:Object of class

`"nClones"`

, named vector of fixed parameters.`fancy`

:Object of class

`"character"`

, fancy model description.`transf`

:Object of class

`"function"`

, function to transform from true parameter scale to diagnostic scale (takes care of fixed value which are not part of the MCMC output.`backtransf`

:Object of class

`"function"`

, function to transform from diagnostic scale to true parameter scale (takes care of fixed value which are not part of the MCMC output.`logdensity`

:Object of class

`"function"`

, function to calculate log density (used in model selection).`neffective`

:Object of class

`"function"`

, function to calculate effective sample size from the number of observations.

No methods defined with class "pvamodel" in the signature.

Khurram Nadeem and Peter Solymos

1 | ```
showClass("pvamodel")
``` |

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