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Contains the REMIND-specific routines for data and model output manipulation.

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The REMIND R package

R package remind, version 36.183.2

CRAN status

Purpose and Functionality

Contains the REMIND-specific routines for data and model output manipulation.

Installation

For installation of the most recent package version an additional repository has to be added in R:

options(repos = c(CRAN = "@CRAN@", pik = "https://rse.pik-potsdam.de/r/packages"))

The additional repository can be made available permanently by adding the line above to a file called .Rprofile stored in the home folder of your system (Sys.glob("~") in R returns the home directory).

After that the most recent version of the package can be installed using install.packages:

install.packages("remind")

Package updates can be installed using update.packages (make sure that the additional repository has been added before running that command):

update.packages()

Tutorial

The package comes with a vignette describing the basic functionality of the package and how to use it. You can load it with the following command (the package needs to be installed):

vignette("remind_summary") # Adding plots to the REMIND_summary.pdf

Automated Tests

When building the library, GDXs are downloaded to test the creation of the reporting. For requests to update the test specimen, please file an issue or contact the package maintainer. Note that you can also manually place one or multiple GDX files in the tests/testgdxs folder to have them tested instead of the default ones.

Questions / Problems

In case of questions / problems please contact Anastasis Giannousakis [email protected].

Citation

To cite package remind in publications use:

Giannousakis A, Pehl M (2021). remind: The REMIND R package. R package version 36.183.2.

A BibTeX entry for LaTeX users is

@Manual{,
 title = {remind: The REMIND R package},
 author = {Anastasis Giannousakis and Michaja Pehl},
 year = {2021},
 note = {R package version 36.183.2},
}

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Contains the REMIND-specific routines for data and model output manipulation.

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