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remindpypsa

https://github.com/pik-piam/remindpypsa

Science Score: 44.0%

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    Scientific vocabulary similarity
    Low similarity (12.1%) to scientific vocabulary
Last synced: 8 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: pik-piam
  • Language: R
  • Default Branch: main
  • Size: 123 KB
Statistics
  • Stars: 2
  • Watchers: 3
  • Forks: 2
  • Open Issues: 1
  • Releases: 0
Created over 3 years ago · Last pushed over 1 year ago
Metadata Files
Readme Citation

README.md

REMIND-PyPSA model coupling scripts

R package remindPypsa, version 0.0.1.9033

CRAN status R build status codecov

Purpose and Functionality

This package contains functions for the iterative bi-directional model coupling of the integrated assessment model REMIND and the spatio-temporally detailed power and energy system model family PyPSA.

Installation

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

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:

r install.packages("remindPypsa")

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

r update.packages()

Questions / Problems

In case of questions / problems please contact Adrian Odenweller adrian.odenweller@pik-potsdam.de.

Citation

To cite package remindPypsa in publications use:

Odenweller A (2023). remindPypsa: REMIND-PyPSA model coupling scripts. R package version 0.0.1.9033, https://github.com/pik-piam/remindPypsa.

A BibTeX entry for LaTeX users is

latex @Manual{, title = {remindPypsa: REMIND-PyPSA model coupling scripts}, author = {Adrian Odenweller}, year = {2023}, note = {R package version 0.0.1.9033}, url = {https://github.com/pik-piam/remindPypsa}, }

Owner

  • Name: Potsdam Integrated Assessment Modelling (PIAM)
  • Login: pik-piam
  • Kind: organization
  • Location: Potsdam Institute for Climate Impact Research (PIK), Germany

Tools developed for use with data and models related to PIK's research.

Citation (CITATION.cff) 

cff-version: 1.2.0
message: If you use this software, please cite it using the metadata from this file.
type: software
title: 'remindPypsa: REMIND-PyPSA model coupling scripts'
version: 0.0.1.9033
date-released: '2023-05-11'
abstract: This package contains functions for the iterative bi-directional model coupling
  of the integrated assessment model REMIND and the spatio-temporally detailed power
  and energy system model family PyPSA.
authors:
- family-names: Odenweller
  given-names: Adrian
  email: adrian.odenweller@pik-potsdam.de
license: LGPL-3.0
repository-code: https://github.com/pik-piam/remindPypsa

GitHub Events

Total
  • Push event: 1
Last Year
  • Push event: 1

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 73
  • Total Committers: 3
  • Avg Commits per committer: 24.333
  • Development Distribution Score (DDS): 0.041
Past Year
  • Commits: 73
  • Committers: 3
  • Avg Commits per committer: 24.333
  • Development Distribution Score (DDS): 0.041
Top Committers
Name Email Commits
Adrian Odenweller a****r@p****e 70
Mika Pflüger m****r@p****e 2
pre-commit-ci[bot] 6****] 1
Committer Domains (Top 20 + Academic)
pik-potsdam.de: 2

Issues and Pull Requests

Last synced: about 2 years ago

All Time
  • Total issues: 0
  • Total pull requests: 10
  • Average time to close issues: N/A
  • Average time to close pull requests: 7 days
  • Total issue authors: 0
  • Total pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.2
  • Merged pull requests: 9
  • Bot issues: 0
  • Bot pull requests: 2
Past Year
  • Issues: 0
  • Pull requests: 6
  • Average time to close issues: N/A
  • Average time to close pull requests: 1 minute
  • Issue authors: 0
  • Pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.17
  • Merged pull requests: 5
  • Bot issues: 0
  • Bot pull requests: 1
View more stats
Top Authors
Issue Authors
Pull Request Authors
  • aodenweller (8)
  • pre-commit-ci[bot] (3)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

DESCRIPTION cran
  • data.table * imports
  • dplyr * imports
  • gdx * imports
  • gdxdt * imports
  • ggplot2 * imports
  • magrittr * imports
  • plyr * imports
  • quitte * imports
  • readr * imports
  • rlang * imports
  • stringr * imports
  • tibble * imports
  • tidyr * imports
  • covr * suggests
  • testthat * suggests