pva-class {PVAClone}

Class "pva"

Description

Model class for fitted PVA objects.

Objects from the Class

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

Slots

observations:

Object of class "numeric", vector of observations (must be non-negative but not necessarily integer), possibly with missing values (NA).

model:

Object of class "pvamodel", internal representation of the growth model and observation error structure.

summary:

Object of class "matrix", asymptotic Wald-type summary on the 'original' scale of the parameters (i.e. not on the scale used for model fitting and diagnostics).

dcdata:

Object of class "dcFit", internal representation of the data and JAGS model.

call:

Object of class "language", the call.

coef:

Object of class "numeric", point estimates of the model parameters.

fullcoef:

Object of class "numeric", vector possibly containing fixed parameter values.

vcov:

Object of class "matrix", variance covariance matrix of the estimates.

details:

Object of class "dcCodaMCMC", MCMC output from data cloning.

nobs:

Object of class "integer", number of observations (excluding missing values).

method:

Object of class "character", optimization method (data cloning).

Extends

Class "dcmle", directly.

Methods

coef

signature(object = "pva")

confint

signature(object = "pva")

show

signature(object = "pva")

vcov

signature(object = "pva")

Author(s)

Khurram Nadeem and Peter Solymos

See Also

pva

Examples

showClass("pva")