RCMIP5: Tools for Manipulating and Summarizing CMIP5 Data

Working with CMIP5 data can be tricky, forcing scientists to write custom scripts and programs. The 'RCMIP5' package aims to ease this process, providing a standard, robust, and high-performance set of scripts to (i) explore what data have been downloaded, (ii) identify missing data, (iii) average (or apply other mathematical operations) across experimental ensembles, (iv) produce both temporal and spatial statistical summaries, and (v) produce easy-to-work-with graphical and data summaries.

Version: 1.2.0
Depends: R (≥ 3.1.0)
Imports: abind (≥ 1.4), dplyr (≥ 0.5), assertthat (≥ 0.1), digest, Matrix
Suggests: ggplot2 (≥ 1.0.1), ncdf4 (≥ 1.9), testthat (≥ 1.0.2), knitr
Published: 2016-07-30
Author: Ben Bond-Lamberty [aut], Kathe Todd-Brown [aut, cre]
Maintainer: Kathe Todd-Brown <ktoddbrown at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: RCMIP5 citation info
Materials: README NEWS
CRAN checks: RCMIP5 results

Downloads:

Reference manual: RCMIP5.pdf
Vignettes: Atmospheric CO2
Package source: RCMIP5_1.2.0.tar.gz
Windows binaries: r-devel: RCMIP5_1.2.0.zip, r-release: RCMIP5_1.2.0.zip, r-oldrel: RCMIP5_1.2.0.zip
OS X Mavericks binaries: r-release: RCMIP5_1.2.0.tgz, r-oldrel: RCMIP5_1.2.0.tgz
Old sources: RCMIP5 archive

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