| Causal Structure Learning Module |
| This module shows how a causal model is constructed, based on an information analysis of the data. |
This code is based on Tetrad 4.3.1, and
more specifically the PC algorithm,
which is fully explained in SGS '93
(Peter Spirtes, Clark Glymour and Richard Scheines. Causation, Prediction, and Search,
Springer Verlag, 1993). The PC
algorithm is extended to be able to deal with deterministic
relations and information equivalences, as explained in paper
1 and paper
2.
This code is still under development, please excuse us if some unconvenient 'features' appear. Feel free to annoy our young responsible developer with complaints.
If necessary,
install the latest java-plugin (java 1.5 is
required).
Alternatively, download
jar-file and run the module by double-clicking on it or with
command java -jar
causalLearningWithKde.jar
(Under Windows: Start => Run => execute cmd to open command shell, go
to correct directory with cd
<directory>).
More
information: Jan
Lemeire (jan.lemeire@vub.ac.be)
Interactive tutorial