RCMIP5
1.2.0Tools for Manipulating and Summarizing CMIP5 Data
Overview
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.
Install
Health
CRAN check results are not tracked yet.
Documentation
- Examples that run
- 82%
- Documented parameters
- 97%
- Return-value docs
- 93%
- References docs
- 3%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.1.0 released · 2021-05-18
- archivedRemoved from CRAN2020-06-15check problems were not corrected in time
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 1.2.02016-07-30 · diff ↗
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- 1.12014-11-24 · diff ↗
- 1.02014-10-15
- RR 3.1.0 released · 2014-04-10
Package metadata
- Total releases
- 3
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.1.0
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("RCMIP5")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.