hollorol/RBBGCMuso
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
152 Commits 2 Branches 0 Tags 48 MiB
R 94.4%
HTML 5.1%
CSS 0.3%
Shell 0.2%
52a5c7ed7a
Go to file
hollorol 52a5c7ed7a README fixing
2018-12-08 16:37:45 +01:00
docs Many changes and bugfix 2018-12-04 14:18:32 +01:00
images simplifying the directory structure 2018-12-08 16:07:13 +01:00
RBBGCMuso simplifying the directory structure 2018-12-08 16:07:13 +01:00
RBBGCMuso_archive simplifying the directory structure 2018-12-08 16:07:13 +01:00
.gitignore simplifying the directory structure 2018-12-08 16:07:13 +01:00
Development_branch.md creating unstable branch following Debian development system 2018-05-05 08:30:27 +02:00
forarcheologists Many changes and work... 2018-06-22 00:17:14 +02:00
installWin.R Adding windows binary 2018-12-04 14:39:44 +01:00
LICENSE Initial commit 2016-12-07 04:17:08 +01:00
RBBGCMuso_0.6.0.0-2.zip Adding windows binary 2018-12-04 14:39:44 +01:00
README.org README fixing 2018-12-08 16:37:45 +01:00

README.org

<img width="200px" align="right" position="absolute" style="position: absolute; top: 0; right: 0; border: 0;" src="https://raw.githubusercontent.com/hollorol/RBBGCMuso/master/images/logo.jpg" alt="Fork me on GitHub">

The RBBGCMuso Package

RBBGCMuso is an R package which helps you to use Biome-BGCMuSo model in R environment. It also provides some additional tools for the model such as MuSo optimized montecarlo, sensitivity analysis. If you want to use the framework, please read the following description.

Installation

Installation in Windows

Istallation in Linux

Installation from Source

Quick usage

Running the model

Visualizing the output

MonteCarlo experiments

Sensitivity analysis

Perform Quick experiments

parameterSweep

Advanced usage

copyMusoExampleTo

setupMuso

musoData

musoMapping

musoMappingFind

spinupMuso

normalMuso

calibMuso

plotMuso

plotMusoWithData

musoQuckEffect

musoMonte

musoSensi

Contact

Acknowledgements

The research was funded by the Széchenyi 2020 programme, the European Regional Development Fund and the Hungarian Government (GINOP-2.3.2-15-2016-00028).