The question
How many deaths were observed compared with a statistical baseline, and how does the answer depend on the model and the periods selected?
What the app offers
Supply weekly or monthly death counts and an event calendar. The application fits baseline models using periods outside the supplied events and reports expected deaths, excess deaths, P-scores, uncertainty, plots, and downloadable reports.
Who it is for
Analysts exploring mortality time series who need to review model choices and explain the resulting estimates.
A starting point
Install from CRAN with install.packages("exmort"), then launch the app from R:
library(exmort)
run_app()The project website hosts documentation. The analysis runs in the Shiny application on your machine.
Interpreting the analysis
The event calendar and baseline period affect the result. Periods outside the supplied events can include observations after an event. Review the data range and the model guidance before interpreting an estimate. The GitHub documentation separately describes development features such as cause-specific analyses.
My contribution
I am the package author and maintainer. The package credits the WHO Regional Office for the Western Pacific for copyright and funding; the source repository provides the full attribution and licence.