tfr.predict.extra: Generating Posterior Trajectories of the Total Fertility Rate...

In PPgp/bayesTFR: Bayesian Fertility Projection

Generating Posterior Trajectories of the Total Fertility Rate for Specific Countries or Regions

Description

Using the posterior parameter samples the function generates posterior trajectories of the total fertility rate for given countries or regions. It is intended to be used after running run.tfr.mcmc.extra, but it can be also used for purposes of testing specific settings on one or a few countries.

Usage

tfr.predict.extra(sim.dir = file.path(getwd(), 'bayesTFR.output'), 
    prediction.dir = sim.dir, countries = NULL, 
    save.as.ascii = 0, verbose = TRUE, uncertainty=FALSE,
    all.countries.required = TRUE, use.correlation = NULL)
	

Arguments

sim.dir	Directory with the MCMC simulation results.
prediction.dir	Directory where the prediction object and the trajectories are stored.
countries	Vector of country codes for which the prediction should be made. If it is NULL, the prediction is run for all countries that are included in the MCMC object but for which no prediction was generated.
save.as.ascii	Either a number determining how many trajectories should be converted into an ascii file, or “all” in which case all trajectories are converted. It should be set to 0, if no conversion is desired. Note that the conversion is done on all countries.
verbose	Logical switching log messages on and off.
uncertainty	Logical. If the MCMC steps considered uncertainty of past TFR and uncertainty=TRUE, starting point of prediction trajectories will be the last estimated trajectories of TFR. Otherwise, it will use the last observed TFR as starting point of prediction.
all.countries.required	If FALSE it is not required that MCMCs of all countries are present.
use.correlation	If missing and if the number of countries is larger than one, it takes the same value as was used in the main simulation. For one country the default is FALSE. If this parameter is TRUE the model errors are sampled jointly for all countries included in this prediction (Fosdick and Raftery, 2014).

Details

In order to use this function, a prediction object must exist, i.e. the function tfr.predict must have been processed prior to using this function.

Trajectories for given countries or regions are generated and stored in binary format along with other countries (in prediction_dir). The existing prediction object is updated and stored in the same directory. If save.as.ascii is larger than zero, trajectories of ALL countries are converted to an ascii format.

Value

Updated object of class bayesTFR.prediction.

Author(s)

Hana Sevcikova

See Also

tfr.predict

PPgp/bayesTFR documentation built on Feb. 21, 2024, 2:04 a.m.