Warning: This package version is no longer supported. Please upgrade to FoReco 1.0, which includes significant changes and is not compatible with previous versions.
The FoReco (Forecast Reconciliation) package is designed for forecast reconciliation, a post-forecasting process aimed to improve the accuracy of the base forecasts for a system of linearly constrained (e.g. hierarchical/grouped) time series.
It offers classical (bottom-up and top-down), and modern (optimal and heuristic combination) forecast reconciliation procedures for cross-sectional, temporal, and cross-temporal linearly constrained time series.
The main functions are:
htsrec(): cross-sectional (contemporaneous) forecast reconciliation.thfrec(): forecast reconciliation for a single time series through temporal hierarchies.lccrec(): level conditional forecast reconciliation for genuine hierarchical/grouped time series.tdrec(): top-down (cross-sectional, temporal, cross-temporal) forecast reconciliation for genuine hierarchical/grouped time series.ctbu(): bottom-up cross-temporal forecast reconciliation.tcsrec(): heuristic first-temporal-then-cross-sectional cross-temporal forecast reconciliation.cstrec(): heuristic first-cross-sectional-then-temporal cross-temporal forecast reconciliation.iterec(): heuristic iterative cross-temporal forecast reconciliation.octrec(): optimal combination cross-temporal forecast reconciliation.
You can also install from Github
# install.packages("devtools")
devtools::install_github("daniGiro/FoReco026")- Source code: https://github.com/daniGiro/FoReco026
- Site documentation: https://danigiro.github.io/FoReco026/
If you encounter a clear bug, please file a minimal reproducible example on GitHub.