pRecipe: A Multiscale Framework for Data Analysis of Global Precipitation

An open-access tool/framework to download, validate, visualize, and analyze multi-source precipitation data across various spatio-temporal scales. Ultimately providing the hydrology science community with the tools for consistent and reproducible analysis regarding precipitation.

Version: 0.1.0
Depends: R (≥ 4.0.0)
Imports: curl, data.table, dplyr, gdalUtils, getPass, ggplot2, hdf5r, lubridate, methods, ncdf4, parallel, raster, rgdal, R.utils, sp, stats, stringr, utils, viridis, zoo
Suggests: spelling, testthat (≥ 3.0.0)
Published: 2021-06-18
Author: Mijael R. Vargas G. [aut, cre], Yannis Markonis [aut, ths], Rajani K. Pradhan [ctb]
Maintainer: Mijael R. Vargas G. <mirovago at gmail.com>
BugReports: https://github.com/MiRoVaGo/pRecipe/issues
License: GPL-2
URL: https://github.com/MiRoVaGo/pRecipe
NeedsCompilation: no
SystemRequirements: PROJ (>= 4.8.0, https://proj.org/download.html) and GDAL (>= 1.11.4, https://gdal.org/download.html).
Language: en-US
Materials: NEWS
CRAN checks: pRecipe results

Downloads:

Reference manual: pRecipe.pdf
Package source: pRecipe_0.1.0.tar.gz
Windows binaries: r-devel: pRecipe_0.1.0.zip, r-release: pRecipe_0.1.0.zip, r-oldrel: pRecipe_0.1.0.zip
macOS binaries: r-release (arm64): pRecipe_0.1.0.tgz, r-release (x86_64): pRecipe_0.1.0.tgz, r-oldrel: pRecipe_0.1.0.tgz
Old sources: pRecipe archive

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