Temporal disaggregation and benchmarking with JDemetra+ v3.x algorithms.
Benchmarking:
- Denton
- Cholette (incl. multi-variate)
- Cubic Splines
- GRP (Growth Rate Preservation)
- Calendarization
Temporal disaggregation
- Chow-Lin
- Fernandez
- Litterman
- Model Based Denton
- ADL (Autoregressive Distributed Lag Models)
Running rjd3 packages requires Java 17 or higher. How to set up such a configuration in R is explained here
To get the current stable version (from the latest release):
- From GitHub:
# install.packages("remotes")
remotes::install_github("rjdverse/rjd3toolkit@*release")
remotes::install_github("rjdverse/rjd3bench@*release")- From r-universe:
install.packages("rjd3bench", repos = c("https://rjdverse.r-universe.dev", "https://cloud.r-project.org"))To get the current development version from GitHub:
# install.packages("remotes")
remotes::install_github("rjdverse/rjd3bench")Any contribution is welcome and should be done through pull requests and/or issues. pull requests should include updated tests and updated documentation. If functionality is changed, docstrings should be added or updated.
The code of this project is licensed under the European Union Public Licence (EUPL).