modelbuilder - A package for graphical building and analysis of compartmental simulation models
The package is under active development. This is an early version of the package, only some features are already implemented. It should mostly work, but has not been fully tested/debugged. Let us know if something fails.
This R package provides functionality that lets the user build and analyze compartmental simulation models, implemented as ordinary differential equations, stochastic equivalents, or discrete time models. All model building and analysis can be done without writing code. The user can export code for one of the model implementations for further customization.
The main use case is to install the R package and use it locally. If you want to get a quick glimpse at the package to see if this package is for you, you can give it a quick try online, without having to install it. Note that not all functionality might work in this online version.
If you like what you see, you can install it locally. I assume you have
R
installed. I also highly recommend RStudio
, though it’s not
required. The package has not yet been submitted to CRAN, therefore it
currently needs to be installed from Github. To do so, you need the
remotes
package. If you don’t have it, install it first. Then, install
and get modelbuilder up and running with these commands:
library('remotes') #install this package if you don't have it
install_github('ahgroup/modelbuilder')
library('modelbuilder')
modelbuilder()
Next, see the Get Started section for a basic and currently sparse - but hopefully still informative - introduction.
This R package is developed and maintained by Andreas Handel. A full list of contributors can be found here.
This project was/is partially supported by NIH grants U19AI117891, R01 GM124280 and GM 12480-03S1 and a grant from the University of Georgia’s Center for Teaching and Learning.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.