R Under development (unstable) (2024-12-04 r87420 ucrt) -- "Unsuffered Consequences"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(bayesLife)
Loading required package: bayesTFR
> source('test_functions.R')
> 
> cran <- TRUE
> wpp <- 2019
> test.get.wpp.data(wpp)

<=== Starting test of getting WPP data (WPP 2019) ====
Loading required package: wpp2019

==== Test of getting WPP data OK.===>
> test.existing.simulation()

<=== Starting test of retrieving MCMC results  ====

==== Test of retrieving MCMC results OK.===>

<=== Starting test of retrieving projection results  ====

==== Test of retrieving projection results OK.===>
> test.e0trajectories()

<=== Starting test of plotting e0 trajectories  ====

==== Test of plotting e0 trajectories OK.===>

<=== Starting test of tabulating e0 trajectories  ====

==== Test of tabulating e0 trajectories OK.===>
> test.get.parameter.traces()

<=== Starting test of getting parameter traces  ====

==== Test of getting parameter traces OK.===>
> 
> 
> ## Time-expensive tests
> if(!cran) {
+ 	test.DLcurve()
+ 	test.plot.density()
+ 	test.plot.map()
+ 	test.estimate.mcmc(compression='xz')
+ 	test.estimate.mcmc.with.suppl.data()
+ 	test.estimate.mcmc.with.suppl.data(compression='bz')
+ 	test.plot.all()
+ 	test.estimate.mcmc.with.overwrites()
+ 	test.run.mcmc.simulation.auto()
+ 	test.run.mcmc.simulation.auto(compression='gz')
+ 	test.run.mcmc.simulation.auto.parallel()
+ 	test.imputation()
+ 	test.subnational.predictions()
+ 	test.my.locations.extra()
+ 	test.reproduce.simulation()
+ 	for (wpp in c(2019, 2024)){
+ 	    test.estimate.mcmc(wpp.year = wpp)
+ 	    test.run.annual.simulation(wpp.year = wpp)
+ 	}
+ 	for(wpp.year in c(2010, 2012, 2015, 2017, 2022, 2024))
+ 	    test.get.wpp.data(wpp.year)
+ }
> 
> proc.time()
   user  system elapsed 
   1.81    1.78    3.57