Software and packages

FoReco [doc] [cran] [github]

Forecast Reconciliation is a a post-forecasting process aimed to improve the accuracy and align forecasts for a system of linearly constrained (e.g. hierarchical/grouped) time series. The FoReco package provides a comprehensive set of classical (bottom-up, top-down and middle-out), and modern (optimal and heuristic combination) forecast reconciliation procedures in different frameworks including cross-sectional, temporal, or cross-temporal settings. Additionally, FoReco provides various functions for different aspects of forecast reconciliation, including aggregating time series, balancing hierarchies, computing projection and covariance matrices, and more.

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Others

  • haR: Heterogeneous AutoRegressive (HAR) model [github]
  • TimeGPTapi: Interact with the TimeGPT API [github]