get.tfr.prediction {bayesTFR}

Accessing a Prediction Object

Description

Function get.tfr.prediction retrieves results of a prediction and creates an object of class bayesTFR.prediction. Function has.tfr.prediction checks an existence of such results.

Usage

get.tfr.prediction(mcmc = NULL, sim.dir = NULL, mcmc.dir = NULL)

has.tfr.prediction(mcmc = NULL, sim.dir = NULL)

Arguments

mcmc

Object of class bayesTFR.mcmc.set used to make the prediction. It must correspond to a Phase II MCMC. If it is NULL, the prediction is loaded from directory given by sim.dir.

sim.dir

Directory where the prediction is stored. It should correspond to the value of the output.dir argument used in the tfr.predict function. Only relevant if mcmc is NULL.

mcmc.dir

Optional argument to be used only in a special case when the mcmc object contained in the prediction object was estimated in different directory than in the one to which it points to (for example due to moving or renaming the original directory). The argument causes that the mcmc is redirected to the given directory. It can be set to NA if no loading of the mcmc object is desired.

Details

If mcmc is not NULL, the search directory is set to mcmc$meta$output.dir. This approach assumes that the prediction was stored in the same directory as the MCMC simulation, i.e. the output.dir argument of the tfr.predict function was set to NULL. If it is not the case, the argument mcmc.dir should be used.

Value

Function has.tfr.prediction returns a logical indicating if a prediction exists for the given mcmc.

Function get.tfr.prediction returns an object of class bayesTFR.prediction.

Author(s)

Hana Sevcikova

See Also

bayesTFR.prediction, tfr.predict, summary.bayesTFR.prediction

Examples

sim.dir <- file.path(find.package("bayesTFR"), "ex-data", "bayesTFR.output")
pred <- get.tfr.prediction(sim.dir=sim.dir)
summary(pred, country="Canada")