Function get.pop.prediction retrieves results of a prediction from disk and creates an object of class bayesPop.prediction. Function has.pop.prediction checks an existence of such results.
get.pop.prediction(sim.dir, aggregation = NULL, write.to.cache = TRUE)has.pop.prediction(sim.dir)
pop.cleanup.cache(pop.pred)
Function has.pop.prediction returns a logical indicating if a prediction exists.
Function get.pop.prediction returns an
object of class bayesPop.prediction.
Directory where the prediction is stored. It should correspond to the value of the output.dir argument used in the pop.predict function.
If given, the prediction object is considered to be an aggregation and both arguments are passed to get.pop.aggregation.
Logical controlling if other functions are allowed to write the cache of this prediction object (see Details).
Object of class bayesPop.prediction.
Hana Sevcikova
The pop.predict function stores resulting trajectories into a directory called output.dir/prediction. Here the argument sim.dir should correspond to output.dir (i.e. without the “prediction” part).
In addition to retrieving prediction results, the get.pop.prediction function also looks for a file called cache.rda and loads it into an environment called cache. If it does not exist, it creates an empty cache environment. See pop.map - Section Performance and Caching. The environment can be cleaned up using the pop.cleanup.cache function which also deletes the cache.rda file on disk. If write.to.cache is FALSE, other functions are not allowed to manipulate the cache.rda file.
bayesPop.prediction, get.pop.aggregation
sim.dir <- file.path(find.package("bayesPop"), "ex-data", "Pop")
pred <- get.pop.prediction(sim.dir)
summary(pred)
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