include: Inclusion Codes

In bayesLife: Bayesian Projection of Life Expectancy

Inclusion Codes

Description

Datasets containing codes that determine which countries are to be included into a simulation or/and projections.

Usage

data(include_2022)
data(include_2019)
data(include_2017)
data(include_2015)
data(include_2012)
data(include_2010)

Format

Data frames containing one record per country or region. It has the following variables:

country

Name of country or region. Not used.

country_code

Numerical Location Code (3-digit codes following ISO 3166-1 numeric standard) - see https://en.wikipedia.org/wiki/ISO_3166-1_numeric.

include_code

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.

Details

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 e0F (e0M) dataset.

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 my.e0.file in run.e0.mcmc).

Note

In all three datasets, countries affected by AIDS are not included in the estimation, i.e. the include_code is set to 3.

Source

Data provided by the United Nations Population Division.

Examples

data(include_2019)
head(include_2019)
# select AIDS countries
subset(include_2019, include_code == 3)

bayesLife documentation built on Sept. 16, 2023, 9:07 a.m.