SubnationalCRVS
R PackageWe can install SubnationalCRVS
using the R code shown below. Since SubnationalCRVS
is hosted on GitHub instead of CRAN, it cannot be installed with the usual install.packages()
function. Instead, SubnationalCRVS
can be installed with the install_github()
function from the devtools
package. The key dependency DemoTools
[Riffe et al. 2019] is also hosted on GitHub instead of CRAN and can also be installed with install_github()
.
install.packages("devtools")
library(devtools)
install_github("timriffe/DemoTools") # install the DemoTools dependency
install_github("ConVERGE-UNFPA/SubnationalCRVS") # install the SubnationalCRVS package
The SubnationalCRVS
R package produces visualizations of data quality (age ratios, sex ratios, age-heaping indices) separately within subnational levels (if provided) based on a dataset that reports population estimates from two time points disaggregated by sex and age. Although subnational levels often represent distinct geographic regions such as provinces/states/regions, they may also represent other characteristics that vary within countries such as income levels or education levels. SubnationalCRVS
also produces national-level visualizations if sex-and age-disaggregated population counts are provided in the dataset at the national level, either in addition to or instead of being provided at the subnational level.
If the two time points in the dataset represent consecutive Censuses that provide the population estimates, age is coded in five-year categories, and the dataset includes the number of registered deaths in the inercensal period, SubnationalCRVS
also provides a convenient wrapper to the DDM
package [Riffe, Lima, Quieroz, 2017] that uses death distribution methods [Moultrie et al. 2013] to estimate death registration completeness between the two Census years within the included levels of subnational disaggregation. SubnationalCRVS
also provides visualizations of the DDM estimates of completeness -- using the GGB-SEG death distribution method [Hill et al. 2009] -- to give a sense of subnational variation and the sensitivity of estimation to the selection of age range during the underlying fitting procedure.
Riffe T, Lima E, Queiroz B (2017). DDM: Death registration coverage estimation. URL: https://cran.r-project.org/package=DDM
Riffe T, Aburto JM, Alexander M, Fennell S, Kashnitsky I, Pascariu M and Gerland P (2019). DemoTools: An R package of tools for aggregate demographic analysis URL: https://github.com/timriffe/DemoTools/.
Wickham H, François R, Henry L, Müller K (2020). dplyr: A grammar of data manipulation. URL: https://cran.r-project.org/package=dplyr
Wickham H, Chang W, Henry L, Pedersen TL, Takahashi K, Wilke C, Woo K, Yutani H, Dunnington D (2020). ggplot2: Create elegant data visualizations using the grammar of graphics. URL: https://cran.r-project.org/package=ggplot2
Moultrie TA, Dorrington RE, Hill AG, Hill K, Timæus IM, and Zaba B. (2013). Tools for demographic estimation. International Union for the Scientific Study of Population. URL: http://demographicestimation.iussp.org/content/get-pdf-book-website
Hill K, You D, Choi Y. (2009). Death distribution methods for estimating adult mortality: sensitivity analysis with simulated data errors. Demographic Research. Jul 1;21:235-54.
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