Conformal Prediction Methods for Multistep-Ahead Time Series Forecasting R package conformalForecast version 0.1.1 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>. Software Depends: R (>= 4.1.0) Imports: forecast, ggdist, rlang, stats, zoo Suggests: dplyr, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0), tibble, tsibble Xiaoqian Wang <Xiaoqian.Wang@amss.ac.cn> Comprehensive R Archive Network (CRAN) Xiaoqian Wang [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-4827-496X>), Rob Hyndman [aut] (ORCID: <https://orcid.org/0000-0002-2140-5352>) GPL-3 2026-01-15 application/tgz https://CRAN.R-project.org/package=conformalForecast doi:10.32614/CRAN.package.conformalForecast