lpjmlstats
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (13.2%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: PIK-LPJmL
- License: agpl-3.0
- Language: R
- Default Branch: main
- Size: 4.13 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Statistical tools for LPJmL data analysis
R package lpjmlstats, version 0.7.1
Purpose and Functionality
This package provides statistical tools for LPJmL data analysis to be used for benchmarking LPJmL outputs.
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("lpjmlstats")
Package updates can be installed using update.packages (make sure that the additional repository has been added before running that command):
r
update.packages()
Tutorial
The package comes with vignettes describing the basic functionality of the package and how to use it. You can load them with the following command (the package needs to be installed):
r
vignette("benchmark-change-settings") # benchmark-change-settings
vignette("benchmark") # benchmark
Questions / Problems
In case of questions / problems please contact David Hötten davidho@pik-potsdam.de.
Citation
To cite package lpjmlstats in publications use:
Hötten D, Breier J, Müller C (2025). "lpjmlstats: Statistical tools for LPJmL data analysis." Version: 0.7.1, https://github.com/PIK-LPJmL/lpjmlstats.
A BibTeX entry for LaTeX users is
latex
@Misc{,
title = {lpjmlstats: Statistical tools for LPJmL data analysis},
author = {David Hötten and Jannes Breier and Christoph Müller},
date = {2025-04-09},
year = {2025},
url = {https://github.com/PIK-LPJmL/lpjmlstats},
note = {Version: 0.7.1},
}
Owner
- Name: LPJmL group @ PIK
- Login: PIK-LPJmL
- Kind: organization
- Repositories: 3
- Profile: https://github.com/PIK-LPJmL
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: 'lpjmlstats: Statistical tools for LPJmL data analysis' version: 0.7.1 date-released: '2025-04-09' abstract: This package provides statistical tools for LPJmL data analysis to be used for benchmarking LPJmL outputs. authors: - family-names: Hötten given-names: David email: davidho@pik-potsdam.de - family-names: Breier given-names: Jannes email: jannes.breier@pik-potsdam.de orcid: https://orcid.org/0000-0002-9055-6904 - family-names: Müller given-names: Christoph email: cmueller@pik-potsdam.de orcid: https://orcid.org/0000-0002-9491-3550 license: AGPL-3.0 repository-code: https://github.com/PIK-LPJmL/lpjmlstats
GitHub Events
Total
- Push event: 8
Last Year
- Push event: 8
Dependencies
- R >= 3.5.0 depends
- Matrix * imports
- abind * imports
- cli * imports
- colorspace * imports
- dplyr * imports
- ggplot2 * imports
- jsonlite * imports
- kableExtra * imports
- knitr * imports
- lpjmlkit * imports
- memoise * imports
- methods * imports
- patchwork * imports
- rlang * imports
- rmarkdown * imports
- stringr * imports
- tibble * imports
- units * imports
- maps * suggests
- raster * suggests
- sf * suggests
- testthat >= 3.0.0 suggests
- actions/checkout v3 composite
- actions/setup-python v4 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite