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An open source modeling framework
Java
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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
Chain
- 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
textfield
- 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
scenarios
Latest commit 986eba3 Jan 7, 2020
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README.md 0.1.3 Jan 30, 2019
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README.md

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!

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