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Modeling and Analysis","monthly_downloads":0,"total_dependent_repos":0,"total_dependent_packages":2,"readme":"\u003cimg style=\"width:27em\" src=\"docs/img/logo-wide.png\" alt=\"Bristlecone logo\" /\u003e\n\n---\n\n![NuGet Downloads](https://img.shields.io/nuget/dt/Bristlecone?labelColor=%23E8E8E8\u0026color=%238D6F64)\n[![GitHub Actions Workflow Status](https://img.shields.io/github/actions/workflow/status/AndrewIOM/Bristlecone/push.yml?logo=github\u0026label=FAKE%20build%20and%20test)](https://github.com/AndrewIOM/bristlecone/actions/workflows/push.yml)\n\nAn F# library for model-fitting model-selection (MFMS) of time-series models to observational data. Included is expressive modelling system for authoring models, which includes full F# units of measure support.\n\nBristlecone contains specialist functionality for fitting (long-term) ecological models. The library was developed for use in dendroecology and palaeoecology, but can be used for other time-series modelling problems.\n\n---\n\n## NuGet \n\nPackage | Stable | Prerelease\n--- | --- | ---\nBristlecone | [![NuGet Version](https://img.shields.io/nuget/v/Bristlecone)](https://www.nuget.org/packages/bristlecone/) | [![NuGet Version](https://img.shields.io/nuget/vpre/Bristlecone)](https://www.nuget.org/packages/bristlecone/)\nBristlecone.Dendro | [![NuGet Version](https://img.shields.io/nuget/v/Bristlecone.Dendro)](https://www.nuget.org/packages/bristlecone.dendro/) | [![NuGet Version](https://img.shields.io/nuget/vpre/Bristlecone.Dendro)](https://www.nuget.org/packages/bristlecone.dendro/absoluteLatest)\n\n---\n\nGetting Started\n----------------\n\n\u003cimg align=\"right\" style=\"padding:0 0 1em 1em\" src=\"docs/img/logo.png\" alt=\"Bristlecone logo\" /\u003e\n\nTo get started with Bristlecone, see [the documentation website with tutorials, examples and API specification](https://andrewiom.github.io/bristlecone).\n\nSome examples are provided on the docs page, with optional downloadable worked notebooks.\n\n#### Benchmarks\n\nA 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).\n\n\nDevelopers: Build Instructions\n----------------\n\nBristlecone requires the .NET 10 SDK, and uses [FAKE](https://fake.build) for building, testing, documentation, and publishing. \n\nSimple building and testing can be done using ``dotnet build`` or ``dotnet run test/Bristlecone.Tests/Bristlecone.Tests.fsproj`` respectively in the root directory. 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