conformalForecast: Conformal Prediction Methods for Multistep-Ahead Time Series Forecasting

Methods and tools for performing multistep-ahead time series forecasting using conformal prediction methods including classical conformal prediction, adaptive conformal prediction, conformal PID (Proportional-Integral-Derivative) control, and autocorrelated multistep-ahead conformal prediction. The methods were described by Wang and Hyndman (2024) <doi:10.48550/arXiv.2410.13115>.

Package details

AuthorXiaoqian Wang [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-4827-496X>), Rob Hyndman [aut] (ORCID: <https://orcid.org/0000-0002-2140-5352>)
MaintainerXiaoqian Wang <Xiaoqian.Wang@amss.ac.cn>
LicenseGPL-3
Version0.1.0
URL https://github.com/xqnwang/conformalForecast https://xqnwang.github.io/conformalForecast/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("conformalForecast")

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conformalForecast documentation built on Nov. 5, 2025, 6:01 p.m.