Bristlecone 2.0.0

.NET Standard 2.0 This package targets .NET Standard 2.0. The package is compatible with this framework or higher. 
dotnet add package Bristlecone --version 2.0.0                

                    
                

            
NuGet\Install-Package Bristlecone -Version 2.0.0
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="Bristlecone" Version="2.0.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add Bristlecone --version 2.0.0                

                    
                

            
#r "nuget: Bristlecone, 2.0.0"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
// Install Bristlecone as a Cake Addin
#addin nuget:?package=Bristlecone&version=2.0.0

// Install Bristlecone as a Cake Tool
#tool nuget:?package=Bristlecone&version=2.0.0

An F# library for model-fitting model-selection (MFMS) of ecological  models to observational data. The library was developed for  individual-based plant modelling using tree ring time-series,  but can be used for any ecological models.

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (2)

Showing the top 2 NuGet packages that depend on Bristlecone:

Package Downloads
Bristlecone.Dendro

An F# library for model-fitting model-selection (MFMS) of ecological models to observational data. The library was developed for individual-based plant modelling using tree ring time-series, but can be used for any ecological models.
Bristlecone.Charts.R

An F# library for model-fitting model-selection (MFMS) of ecological models to observational data. The library was developed for individual-based plant modelling using tree ring time-series, but can be used for any ecological models.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
2.0.0 198 4/24/2024
2.0.0-alpha2 301 4/27/2022
2.0.0-alpha1 425 9/28/2021
1.0.0 995 9/10/2019
1.0.0-alpha6 586 6/17/2019
1.0.0-alpha5 514 3/25/2019
1.0.0-alpha4 473 3/18/2019
1.0.0-alpha3 481 3/18/2019
1.0.0-alpha2 689 1/14/2019
1.0.0-alpha1 696 12/12/2018

FEATURE: Domain Specific Language (DSL) for scaffolding models.
FEATURE: User-definable RNG seeds.
FEATURE: Scaffold many models into competing hypotheses.
FEATURE: One-step-ahead analysis of model performance.
FEATURE: Benchmark suite of common test functions for optimisation routines
FEATURE: Performance tuning of optimisers. For example, Filzbach 94% faster.
FEATURE: Documentation website uses latest fsdocs and includes fully worked examples.
BREAKING: We recommend using the DSL to construct models. Underlying F# record type signatures have changed and will break version 1.x scripts.
BUGFIX: Amoeba functions respect end conditions.