get.est.model {bayesTFR}  R Documentation 
Accessing estimated bias and standard deviations
Description
Functions for obtaining bias and standard deviation of the estimated models as well as the model fits.
Usage
tfr.bias.sd(mcmc.list = NULL, country = NULL, sim.dir = NULL, ...)
get.bias.model(mcmc.list = NULL, country = NULL, sim.dir = NULL, ...)
get.std.model(mcmc.list = NULL, country = NULL, sim.dir = NULL, ...)
Arguments
mcmc.list 
Object of class 
country 
Name or numerical code of a country. It can also be given as ISO2 or ISO3 characters. 
sim.dir 
Directory with the MCMC simulation results. Only used if 
... 
Not used. 
Details
Functions get.bias.model
and get.std.model
are used to obtain the model fit for estimated bias and standard deviation, respectively, when uncertainty about input data is taken into account. These are used in the MCMC steps stored in mcmc.list
. Function tfr.bias.sd
combines both infos into one object.
Value
Functions get.bias.model
and get.std.model
return a list with
model 

table 

Function tfr.bias.sd
consolidates these items into a single list where the elements are model_bias
, model_sd
and table
.
Author(s)
Peiran Liu, Hana Sevcikova
Examples
## Not run:
sim.dir < tempfile()
mcmc.set < run.tfr.mcmc(nr.chains = 1, iter = 10,
output.dir = sim.dir, uncertainty = TRUE)
tfr.bias.sd(mcmc.set, "Nigeria")
unlink(sim.dir, recursive = TRUE)
## End(Not run)