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 <http://arxiv.org/abs/1506.02494>.

AuthorChristina Heinze-Deml <heinzedeml@stat.math.ethz.ch>
Date of publication2017-01-09 15:16:51
MaintainerChristina Heinze-Deml <heinzedeml@stat.math.ethz.ch>
LicenseGPL
Version0.1.4.1
https://github.com/christinaheinze/backShift

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