R Observatory: Metrics for WQM version 0.1.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

WQM

0.1.4Package record

Wavelet-Based Quantile Mapping for Postprocessing Numerical Weather Predictions

0packages depend

2.3Kdownloads / year

–test coverage

8/13flavors OK

Overview

About

Maintained by Ze JiangCRAN page ↗

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.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("WQM", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-wqm

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-WQM

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-WQM

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

5NOTE8OK

Check messages

NOTEdependencies in R coder-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64

r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Base packages in Suggests/Enhances imported in NAMESPACE:
  ‘graphics’ ‘stats’

r-devel-windows-x86_64

Base packages in Suggests/Enhances imported in NAMESPACE:
  'graphics' 'stats'

CRAN check page ↗

Slowest check: 2.8 min · r-oldrel-windows-x86_64

Status changes

NOTE8 OK, 5 NOTENow
NOTE11 OK, 2 NOTE2026-09-12
OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01

Show 2 earlier changesHide 2 earlier changes

OK12 OK2026-04-25
NOTE11 OK, 3 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.4

READMEYes · 62 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 8
Examples that run: 100%2 run in a plain check
Exported functions with examples: 33%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 38%

Vignettes (1)

WQM

How these are measured

Downloads

2.3K

CRAN downloads in the past year

Rank #22,522 · ~6/day · ~192/mo

Releases R versions

Daily download trend is not available in this view yet.

22830 days

58590 days

2.3K1 year

Compare downloads with other packages →

Also on69 r2u5 autocran

How downloads are counted

Dependencies

Declared dependencies

13 external dependencies (excludes base and recommended)

Installing WQM adds 24 packages (12 with compiled code, 17 MB of source tarballs). Heaviest: ggplot2 6.0 MB, Rcpp 1.8 MB, isoband 1.5 MB.

Depends (1)

R >= 3.5.0

Imports (4)

MBC WaveletComp matrixStats ggplot2

LinkingTo (0)

none

Suggests (11)

statstidyr dplyr wmtsa scales data.tablegraphicstestthat knitr rmarkdown bookdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Ze Jiang

Author, Maintainer since 0.1.4 (2024)

Fiona Johnson

Author

Releases (1)

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.1.4Latest
record
2024-10-11 · current release
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-10-11
Total releases: 1 / 2 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.5.0
Bundled data: 392 KB / 2 files
Download size: 895 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("WQM")

Format

Jiang, Z., & Johnson, F. (2024). WQM: Wavelet-Based Quantile Mapping for Postprocessing Numerical Weather Predictions (Version 0.1.4) [Computer software]. https://doi.org/10.32614/CRAN.package.WQM

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for WQM version 0.1.4 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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