pva-class: Class '"pva"'

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

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

1
showClass("pva")

PVAClone documentation built on May 2, 2019, 5:49 a.m.