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backShift: Learning Causal Cyclic Graphs from Unknown Shift Interventions
Code for 'backShift', an algorithm to estimate the connectivity matrix of a directed (possibly cyclic) graph with hidden variables. The underlying system is required to be linear and we assume that observations under different shift interventions are available. For more details, see <arXiv:1506.02494>.
Getting started
Browse package contents
Package details |
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| Author | Christina Heinze-Deml <heinzedeml@stat.math.ethz.ch> |
| Maintainer | Christina Heinze-Deml <heinzedeml@stat.math.ethz.ch> |
| License | GPL |
| Version | 0.1.4.3 |
| URL | https://github.com/christinaheinze/backShift |
| Package repository | View on CRAN |
| Installation |
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