Package: conformalForecast
Title: Conformal Prediction Methods for Multistep-Ahead Time Series
        Forecasting
Version: 0.2.0
Authors@R: c(
    person("Xiaoqian", "Wang", , "Xiaoqian.Wang@amss.ac.cn",
           role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0003-4827-496X")),
    person("Rob", "Hyndman", , "Rob.Hyndman@monash.edu",
           role = "aut",
           comment = c(ORCID = "0000-0002-2140-5352")),
    person("Daniele", "Girolimetto", , "daniele.girolimetto@unipd.it",
           role = "aut",
           comment = c(ORCID = "0000-0001-9387-1232"))
  )
Description: 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>.
License: GPL-3
URL: https://github.com/xqnwang/conformalForecast,
        https://xqnwang.github.io/conformalForecast/
BugReports: https://github.com/xqnwang/conformalForecast/issues
Depends: R (>= 4.1.0), forecast
Imports: ggdist, rlang, stats, zoo
Suggests: dplyr, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0),
        tibble, tsibble
Config/testthat/edition: 3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
VignetteBuilder: knitr
Repository: https://robjhyndman.r-universe.dev
Date/Publication: 2026-10-15 05:24:50 UTC
RemoteUrl: https://github.com/xqnwang/conformalForecast
RemoteRef: HEAD
RemoteSha: daf667743757d034c2a4d43e98ed42796a4136a3
NeedsCompilation: no
Packaged: 2026-10-15 06:08:07 UTC; root
Author: Xiaoqian Wang [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0003-4827-496X>),
  Rob Hyndman [aut] (ORCID: <https://orcid.org/0000-0002-2140-5352>),
  Daniele Girolimetto [aut] (ORCID:
    <https://orcid.org/0000-0001-9387-1232>)
Maintainer: Xiaoqian Wang <Xiaoqian.Wang@amss.ac.cn>