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.

Documentation

Manual: RCMIP5.pdf
Vignette: Atmospheric CO2

Maintainer: Kathe Todd-Brown <ktoddbrown at gmail.com>

Author(s): Ben Bond-Lamberty*, Kathe Todd-Brown*

Install package and any missing dependencies by running this line in your R console:

install.packages("RCMIP5")

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
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Package RCMIP5
Materials
URL
Task Views
Version 1.2.0
Published 2016-07-30
License MIT + file LICENSE
BugReports
SystemRequirements
NeedsCompilation no
Citation
CRAN checks RCMIP5 check results
Package source RCMIP5_1.2.0.tar.gz