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https://github.com/andrewiom/bristlecone
An F# library for mechanistic modelling of ecological time series data
https://github.com/andrewiom/bristlecone
dendroecology mechanistic-models time-series
Last synced: about 2 months ago
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An F# library for mechanistic modelling of ecological time series data
- Host: GitHub
- URL: https://github.com/andrewiom/bristlecone
- Owner: AndrewIOM
- License: other
- Created: 2018-03-20T09:22:54.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2024-04-12T15:03:54.000Z (9 months ago)
- Last Synced: 2024-04-12T16:31:06.966Z (9 months ago)
- Topics: dendroecology, mechanistic-models, time-series
- Language: F#
- Homepage: https://andrewiom.github.io/bristlecone
- Size: 3.57 MB
- Stars: 6
- Watchers: 5
- Forks: 0
- Open Issues: 7
-
Metadata Files:
- Readme: README.MD
- License: LICENSE
Awesome Lists containing this project
README
An F# library for model-fitting model-selection (MFMS) of ecological models to observational data. The library was developed for tree ring analysis, but can be used for other time-series modelling problems.
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## Builds
GitHub Actions |
:---: |
[![Github Actions](https://github.com/AndrewIOM/bristlecone/actions/workflows/push.yml/badge.svg?branch=master)](https://github.com/AndrewIOM/bristlecone/actions/workflows/push.yml) |## NuGet
Package | Stable | Prerelease
--- | --- | ---
Bristlecone | [![NuGet Badge](https://buildstats.info/nuget/bristlecone)](https://www.nuget.org/packages/bristlecone/) | [![NuGet Badge](https://buildstats.info/nuget/bristlecone?includePreReleases=true)](https://www.nuget.org/packages/bristlecone/)
Bristlecone.Dendro | [![NuGet Badge](https://buildstats.info/nuget/bristlecone.dendro)](https://www.nuget.org/packages/bristlecone.dendro/) | [![NuGet Badge](https://buildstats.info/nuget/bristlecone.dendro?includePreReleases=true)](https://www.nuget.org/packages/bristlecone.dendro/)---
Getting Started
----------------To get started with Bristlecone, see [the documentation website with tutorials, examples and API specification](https://andrewiom.github.io/bristlecone).
In addition, in the `samples` folder there are example scripts for simple to more complex models.
#### Benchmarks
A suite of benchmarks - covering optimisation methods and ecological time-series models - are included in the `test/Bristlecone.Benchmark` project. The most recent results of the benchmark tests [are here](benchmarks.md).
Developers: Build Instructions
----------------Bristlecone uses [FAKE](https://fake.build) for building, testing, documentation, and publishing. After cloning the repo, run ``dotnet tool restore`` then either ``dotnet fake build -t Build`` to compile only, or ``dotnet fake build -t All`` to build, test, and compile documentation.
Contribute
----------------Contributions, issues, and pull-requests are most welcome.
*Logo based on [Free Vector Art by www.vecteezy.com](https://vecteezy.com)*