rjd3bench

Overview

rjd3bench provides a variety of methods for temporal disaggregation &
interpolation, benchmarking, reconciliation and calendarization.

Temporal disaggregation & interpolation:

• Chow-Lin, Fernandez and Litterman
• Model-Based Denton
• Autoregressive Distributed Lag (ADL) models

Benchmarking:

• Denton
• GRP (Growth Rate Preservation)
• Cubic Splines
• Cholette

Reconciliation and multivariate temporal disaggregation:

• Multivariate Cholette

Calendarization

Installation

Running rjd3 packages requires Java 17 or higher. How to set up such
a configuration in R is explained
here

Latest release

To get the current stable version (from the latest release):

• From GitHub:

# install.packages("remotes")
remotes::install_github("rjdverse/rjd3bench@*release")

• From r-universe:

install.packages("rjd3bench", repos = c("https://rjdverse.r-universe.dev", "https://cloud.r-project.org"))

Development version

To get the current development version from GitHub:

# install.packages("remotes")
remotes::install_github("rjdverse/rjd3bench")

Package Maintenance and contributing

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.

Licensing

The code of this project is licensed under the European Union Public
Licence
(EUPL).