Skip to content
An open source modeling framework
Branch: master
Clone or download
zward 0.2.7
- Added message to select a cell if one is not selected when editing a
table column name
- Added import model objects
- Added auto-update variables that depend on 't' in the model
- Added variables to Markov trace summaries
- Added option to compile Markov traces into one window
- Added support for scientific notation to interpreter (e.g. 4.35e-05)
- Added option to import parameter sets from a .csv
- Added option to specify one-time variable updates (at t=0) to Markov
- Added interpolate matrix function to linearly interpolate row vectors
(X and Y)
- Added highlight model objects in variable update fields
- Changed placement of new nodes to be below existing child nodes
- Changed expression builder to display current expression from selected
- Fixed undo/redo update Markov panel for all nodes
- Fixed opening Markov models with variables that depend on t - moved
addT() to before validate model objects
- Fixed parse tokens for dependent variables on model open
- Fixed check for null Numeric array when saving variable
- Fixed update dependent variables order
- Fixed parameter locking when sampling in PSA, calibration, VOI, and
Latest commit 986eba3 Jan 7, 2020
Type Name Latest commit message Commit time
Failed to load latest commit information.
LICENSE 0.1.3 Jan 30, 2019

Amua logo

Welcome to Amua

Amua is an open source modeling framework and probabilistic programming language. From the Swahili word for "decide"/"solve", Amua is designed to be:

  • Transparent: The graphical user interface provides an intuitive way to develop and document models. As an open source framework, the underlying code is always available.
  • Flexible: Models can be run in Amua or exported to other programming languages. This allows conceptual models to be separated from any particular implementation, making it easy to change model platforms.
  • Accessible: Amua is free software and can be used as a teaching tool, or by researchers seeking an integrated modeling environment. The software is lightweight and can be used on any operating system with a Java Virtual Machine installed.
  • Bayesian: As a probabilistic programming language, Amua allows model parameters to be treated as random variables and fit to data via model calibration using a variety of techniques.

Model types:

You can get started here!


You can’t perform that action at this time.