Package: WQM
Type: Package
Title: Wavelet-Based Quantile Mapping for Postprocessing Numerical
        Weather Predictions
Version: 0.1.4
Authors@R: 
    c(person(given = "Ze",
           family = "Jiang",
           role = c("aut", "cre"),
           email = "ze.jiang@unsw.edu.au",
           comment = c(ORCID = "0000-0002-3472-0829")),
      person(given = "Fiona",
           family = "Johnson",
           role = c("aut"),
           comment = c(ORCID = "0000-0001-5708-1807")))
Author: Ze Jiang [aut, cre] (<https://orcid.org/0000-0002-3472-0829>),
  Fiona Johnson [aut] (<https://orcid.org/0000-0001-5708-1807>)
Maintainer: Ze Jiang <ze.jiang@unsw.edu.au>
Description: The wavelet-based quantile mapping (WQM) technique is designed to correct biases in spatio-temporal precipitation forecasts across multiple time scales. The WQM method effectively enhances forecast accuracy by generating an ensemble of precipitation forecasts that account for uncertainties in the prediction process. For a comprehensive overview of the methodologies employed in this package, please refer to Jiang, Z., and Johnson, F. (2023) <doi:10.1029/2022EF003350>. The package relies on two packages for continuous wavelet transforms: 'WaveletComp', which can be installed automatically, and 'wmtsa', which is optional and available from the CRAN archive <https://cran.r-project.org/src/contrib/Archive/wmtsa/>. Users need to manually install 'wmtsa' from this archive if they prefer to use 'wmtsa' based decomposition.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: MBC, WaveletComp, matrixStats, ggplot2
Suggests: stats, tidyr, dplyr, wmtsa, scales, data.table, graphics,
        testthat (>= 3.0.0), knitr, rmarkdown, bookdown
Config/testthat/edition: 3
RoxygenNote: 7.3.2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-07 22:38:30 UTC; z5154277
Repository: CRAN
Date/Publication: 2024-10-11 08:00:18 UTC
Built: R 4.6.0; ; 2026-01-12 03:17:07 UTC; windows
