Datasets containing codes that determine which countries are to be included into a simulation or/and projections.
data(include_2022) data(include_2019) data(include_2017) data(include_2015) data(include_2012) data(include_2010)
Data frames containing one record per country or region. It has the following variables:
Name of country or region. Not used.
Numerical Location Code (3-digit codes following ISO 3166-1 numeric standard) - see https://en.wikipedia.org/wiki/ISO_3166-1_numeric.
Entries for which
include_code=2 are included in MCMC simulations (i.e. estimation of the model parameters). Entries for which
include_code is 1 or 2 are included in the prediction.
In a simulation, an
include_* dataset is selected that corresponds to the given
wpp.year passed to the function
run.e0.mcmc. It is merged with an
e0 dataset from the corresponding wpp package using the
country_code column. Thus, the country entries in this dataset should correspond to entries in the
The package contains also a dataset called ‘my_e0_template’ (in ‘extdata’ directory) which is a template for user-specified e0 time series. It has the same structure as the
e0 dataset, except that most of the columns are optional. The only required column is
country_code (see description of the argument
In all three datasets, countries affected by AIDS are not included in the estimation, i.e. the
include_code is set to 3.
Data provided by the United Nations Population Division.
data(include_2019) head(include_2019) # select AIDS countries subset(include_2019, include_code == 3)
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