Package: caretForecast
Title: Conformal Time Series Forecasting Using State of Art Machine
        Learning Algorithms
Version: 0.1.3
Authors@R: 
    person(given = "Resul",
           family = "Akay",
           role = c("aut", "cre"),
           email = "resul.akay@taf-society.org")
Description: Conformal time series forecasting using the caret
        infrastructure. It provides access to state-of-the-art machine
        learning models for forecasting applications. The
        hyperparameter of each model is selected based on time series
        cross-validation, and forecasting is done recursively.
License: GPL (>= 3)
URL: https://taf-society.github.io/caretForecast/,
        https://github.com/taf-society/caretForecast
BugReports: https://github.com/taf-society/caretForecast/issues
Depends: R (>= 3.6)
Imports: forecast (>= 8.15), caret (>= 6.0.88), magrittr (>= 2.0.1),
        methods (>= 4.1.1), dplyr (>= 1.0.9), generics (>= 0.1.3)
Suggests: Cubist (>= 0.3.0), knitr (>= 1.29), testthat (>= 2.3.2)
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Config/pak/sysreqs: libicu-dev
Repository: https://taf-society.r-universe.dev
Date/Publication: 2026-01-31 14:50:20 UTC
RemoteUrl: https://github.com/taf-society/caretforecast
RemoteRef: HEAD
RemoteSha: af9e33761968d183074c4cd0c3df3888a57cf0ea
NeedsCompilation: no
Packaged: 2026-10-01 09:40:12 UTC; root
Author: Resul Akay [aut, cre]
Maintainer: Resul Akay <resul.akay@taf-society.org>