GeneralModel

GeneralModel is a general model class, from which all other specific model-like classes inherit.

Usage

.DefaultGeneralModel()

Slots

datamodel

(function)
a function representing the JAGS data model specification.

priormodel

(function)
a function representing the JAGS prior specification.

modelspecs

(function)
a function computing the list of the data model and prior model specifications that are required to be specified completely (e.g. prior parameters, reference dose, etc.), based on the data slots that are required as arguments of this function. Apart of data arguments, this function can be specified with one additional (optional) argument from_prior of type logical and length one. This from_prior flag can be used to differentiate the output of the modelspecs, as its value is taken directly from the from_prior argument of the mcmc method that invokes modelspecs function. That is, when from_prior is TRUE, then only priormodel JAGS model is used (datamodel is not used) by the mcmc, and hence modelspecs function should return all the parameters that are required by the priormodel only. If the value of from_prior is FALSE, then both JAGS models datamodel and priormodel are used in the MCMC sampler, and hence modelspecs function should return all the parameters required by both datamodel and priormodel.

init

(function)
a function computing the list of starting values for parameters required to be initialized in the MCMC sampler, based on the data slots that are required as arguments of this function.

datanames

(character)
the names of all data slots that are used by datamodel JAGS function. No other names should be specified here.

datanames_prior

(character)
the names of all data slots that are used by priormodel JAGS function. No other names should be specified here.

sample

(character)
names of all parameters from which you would like to save the MCMC samples.

Note

The datamodel must obey the convention that the data input is called exactly in the same way as in the corresponding data class. All prior distributions for parameters should be contained in the model function priormodel. The background is that this can be used to simulate from the prior distribution, before obtaining any data.

Typically, end users will not use the .DefaultGeneralModel() function.

See also

ModelPseudo.