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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>.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: forecast, ggdist, rlang, stats, zoo
Suggests: dplyr, ggplot2, knitr, rmarkdown, testthat (≥ 3.0.0), tibble, tsibble
Published: 2025-10-06
DOI: 10.32614/CRAN.package.conformalForecast
Author: Xiaoqian Wang ORCID iD [aut, cre, cph], Rob Hyndman ORCID iD [aut]
Maintainer: Xiaoqian Wang <Xiaoqian.Wang at amss.ac.cn>
BugReports: https://github.com/xqnwang/conformalForecast/issues
License: GPL-3
URL: https://github.com/xqnwang/conformalForecast, https://xqnwang.github.io/conformalForecast/
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: conformalForecast results

Documentation:

Reference manual: conformalForecast.html , conformalForecast.pdf
Vignettes: Introduction to conformalForecast (source, R code)

Downloads:

Package source: conformalForecast_0.1.0.tar.gz
Windows binaries: r-devel: conformalForecast_0.1.0.zip, r-release: not available, r-oldrel: conformalForecast_0.1.0.zip
macOS binaries: r-release (arm64): conformalForecast_0.1.0.tgz, r-oldrel (arm64): conformalForecast_0.1.0.tgz, r-release (x86_64): conformalForecast_0.1.0.tgz, r-oldrel (x86_64): conformalForecast_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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