pvamodel-class | R Documentation |
"pvamodel"
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
pva
showClass("pvamodel")
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