validate-forecast-methods provides the R source code used in the project:
Bohk-Ewald, Christina, Peng Li, and Mikko Myrskylä (2017). Assessing the accuracy of cohort fertility forecasts. Presented in session: Statistical methods in demography at the PAA 2017 Annual Meeting, Chicago, IL, USA, April 27-April 29, 2017
The code needs to be executed in eight steps, as defined by step-*.R files in the root directory. You can run these scripts separately or all at once with step-0-all-steps-at-once.R
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The
.txtfiles in./input-data/contain empty lists due to copyrights. You will need to put in fertility data yourself. See comments for step 2 in [step-0-all-steps-at-once.R]. -
Make sure you have configured the correct paths (in each of the nine
step-*.Rfiles).
You can run all steps all at once step-0-all-steps-at-once.R (recommended) or you can run the step-*.R scripts in the root directory in the prescribed order.
If you use this code for academic research, please cite the above conference talk.
Please note that this source code is an academic project. We welcome any issues and pull requests.
The source code of validate-forecast-methods is published under the GNU General Public License version 3.