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https://github.com/jeksterslab/dynutils
Utility functions for data preparation when fitting dynamic models.
https://github.com/jeksterslab/dynutils
Last synced: 15 days ago
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Utility functions for data preparation when fitting dynamic models.
- Host: GitHub
- URL: https://github.com/jeksterslab/dynutils
- Owner: jeksterslab
- License: gpl-3.0
- Created: 2024-03-18T22:42:32.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-10-01T18:47:43.000Z (about 2 months ago)
- Last Synced: 2024-10-10T05:35:27.183Z (about 1 month ago)
- Language: TeX
- Homepage: https://jeksterslab.github.io/dynUtils/
- Size: 7.97 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
- Citation: CITATION.cff
Awesome Lists containing this project
README
dynUtils
================
Ivan Jacob Agaloos Pesigan
2024-10-01[![R-CMD-check](https://github.com/jeksterslab/dynUtils/workflows/R-CMD-check/badge.svg)](https://github.com/jeksterslab/dynUtils/actions)
[![test-coverage](https://github.com/jeksterslab/dynUtils/actions/workflows/test-coverage.yml/badge.svg)](https://github.com/jeksterslab/dynUtils/actions/workflows/test-coverage.yml)
[![lint](https://github.com/jeksterslab/dynUtils/actions/workflows/lint.yml/badge.svg)](https://github.com/jeksterslab/dynUtils/actions/workflows/lint.yml)
[![pkgdown](https://github.com/jeksterslab/dynUtils/actions/workflows/pkgdown-gh-pages.yml/badge.svg)](https://github.com/jeksterslab/dynUtils/actions/workflows/pkgdown-gh-pages.yml)
[![codecov](https://codecov.io/gh/jeksterslab/dynUtils/branch/main/graph/badge.svg)](https://codecov.io/gh/jeksterslab/dynUtils)## Description
Utility functions for data preparation when fitting dynamic models.
## Installation
You can install the released version of `dynUtils` from
[GitHub](https://github.com/jeksterslab/dynUtils) with:``` r
if (!require("remotes")) install.packages("remotes")
remotes::install_github("jeksterslab/dynUtils")
```## More Information
See [GitHub Pages](https://jeksterslab.github.io/dynUtils) for package
documentation.## References
R Core Team. (2023). *R: A language and environment for statistical
computing*. R Foundation for Statistical Computing.