library(bayesTFR)
source('test_functions.R')
cran <- TRUE
wpp <- 2019
test.load.UNtfr(wpp)
test.load.UNlocations(wpp)
test.create.tfr.matrix(wpp)
test.load.UNtfr.and.my.tfr.file()
test.existing.simulation()
## disable the following tests when submitting to CRAN
## to speed-up the checking procedure
if(!cran) {
test.DLcurve()
test.TFRtrajectories()
test.plot.density()
test.get.parameter.traces()
test.median.adjust()
test.plot.map()
test.estimate.mcmc.with.suppl.data()
test.run.mcmc.simulation(compression='xz')
test.imputation()
test.thinned.simulation(compression='bz')
test.run.mcmc.simulation.auto()
test.run.mcmc.simulation.auto.parallel()
test.plot.all()
test.reproduce.simulation()
test.subnational.predictions()
for (wpp in c(2019, 2022)){
test.run.mcmc.simulation(wpp.year = wpp)
test.run.mcmc.simulation.with.uncertainty(wpp.year = wpp)
test.thinned.simulation(wpp.year = wpp)
test.run.annual.simulation(wpp.year = wpp)
}
for(wpp in rev(c(2010, 2012, 2015, 2017, 2022))) { # these are either suggested packages or not on CRAN
test.load.UNtfr(wpp)
test.load.UNlocations(wpp)
test.create.tfr.matrix(wpp)
}
}
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