SpecExch-class: A S4 class to specify an exchangeable prior.

In StatisticsNZ/demest: Bayesian Demographic Estimation and Forecasting

A S4 class to specify an exchangeable prior.

Description

An object of class SpecExch specifies a prior in which the order of the elements is irrelevant. The prior consists of an optional covariates term, and an error term. The error term can have a normal or t distribution. For details, see the documentation for function Exch.

Slots

formula

A formula with response mean.

data

A data.frame containing covariate data.

contrastsArg

A named list, the elements which are matrices or names of contrasts functions.

AIntercept

The standard deviation for the prior for the intercept in the covariates term.

nuEtaCoef

The degrees of freedom for the prior for the coefficients in the covariates term.

AEtaCoef

The scale for the prior for the coefficients in the covariates term.

nuBeta

The degrees of freedom for the error term, if the error term has a t distribution.

nuTau

The degrees of freedom for the truncated half-t prior for the standard deviation or scale parameter for the error term.

ATau

The scale for the truncated half-t prior for the standard deviation or scale parameter for the error term.

maxTau

The maximum value for the standard deviation or scale parameter for the error term.

Warning

In normal usage, it should not be necessary to access, or even know about, the slots of a SpecExch object. The slots are not part of the API of the package, and may change in future.

See Also

Object of class SpecExch are generated using function Exch.

StatisticsNZ/demest documentation built on Nov. 2, 2023, 7:56 p.m.