show-methods: Print description of model or prior.

In StatisticsNZ/demest: Bayesian Demographic Estimation and Forecasting

Print description of model or prior.

Description

Printing an object of class SpecModel, SpecLikelihood, or SpecPrior gives an informal mathematical description of a model or prior. The description is typically incomplete, since defaults for priors or hyperparameters cannot be determined until the data are known, which happens when estimateModel, estimateCounts, or estimateAccount is called. The final specification can be seen by calling function showModel after the estimate function has run.

Usage

## S4 method for signature 'DampKnown'
show(object)

## S4 method for signature 'DampUnknown'
show(object)

## S4 method for signature 'Dispersion'
show(object)

## S4 method for signature 'SpecAgPlaceholder'
show(object)

## S4 method for signature 'SpecAgCertain'
show(object)

## S4 method for signature 'SpecAgNormal'
show(object)

## S4 method for signature 'SpecAgFun'
show(object)

## S4 method for signature 'SpecAgPoisson'
show(object)

## S4 method for signature 'SpecLikelihoodBinomial'
show(object)

## S4 method for signature 'SpecLikelihoodCMP'
show(object)

## S4 method for signature 'SpecLikelihoodNormalVarsigmaKnown'
show(object)

## S4 method for signature 'SpecLikelihoodNormalVarsigmaUnknown'
show(object)

## S4 method for signature 'SpecLikelihoodPoisson'
show(object)

## S4 method for signature 'SpecLikelihoodPoissonBinomialMixture'
show(object)

## S4 method for signature 'SpecLikelihoodRound3'
show(object)

## S4 method for signature 'SpecLikelihoodExact'
show(object)

## S4 method for signature 'SpecLikelihoodNormalFixed'
show(object)

## S4 method for signature 'SpecLikelihoodTFixed'
show(object)

## S4 method for signature 'SpecLikelihoodLN2'
show(object)

## S4 method for signature 'SpecBinomialVarying'
show(object)

## S4 method for signature 'SpecCMPVarying'
show(object)

## S4 method for signature 'SpecNormalVaryingVarsigmaKnown'
show(object)

## S4 method for signature 'SpecNormalVaryingVarsigmaUnknown'
show(object)

## S4 method for signature 'SpecPoissonVarying'
show(object)

## S4 method for signature 'SpecPoissonBinomialMixture'
show(object)

## S4 method for signature 'SpecRound3'
show(object)

## S4 method for signature 'SpecExact'
show(object)

## S4 method for signature 'SpecNormalFixed'
show(object)

## S4 method for signature 'SpecTFixed'
show(object)

## S4 method for signature 'SpecLN2'
show(object)

## S4 method for signature 'Components'
show(object)

## S4 method for signature 'Covariates'
show(object)

## S4 method for signature 'InvChiSq'
show(object)

## S4 method for signature 'Error'
show(object)

## S4 method for signature 'HalfT'
show(object)

## S4 method for signature 'Initial'
show(object)

## S4 method for signature 'Level'
show(object)

## S4 method for signature 'Norm'
show(object)

## S4 method for signature 'TDist'
show(object)

## S4 method for signature 'Trend'
show(object)

## S4 method for signature 'Season'
show(object)

## S4 method for signature 'SpecDLM'
show(object)

## S4 method for signature 'SpecExch'
show(object)

## S4 method for signature 'SpecExchFixed'
show(object)

## S4 method for signature 'SpecKnown'
show(object)

## S4 method for signature 'SpecMix'
show(object)

## S4 method for signature 'Weights'
show(object)

## S4 method for signature 'SpecZero'
show(object)

Arguments

object

Object of class SpecModel, SpecLikelihood, or SpecPrior.

Details

The trunc-half-t(df, s^2, max) in the printed results refers to a truncated half-t distribution with df degrees of freedom, scale s^2, and maximum value max.

See Also

showModel for a more complete description of the model.

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