show-methods {demest} | R Documentation

## 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 '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 '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 '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.

[Package demest version 0.0.0.3.1 Index]