backShift (

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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 .

Maintainer: Christina Heinze-Deml
Author(s): Christina Heinze-Deml <>

License: GPL

Uses: clue, ggplot2, igraph, MASS, matrixcalc, mvnmle, reshape2, fields, pcalg, testthat, knitr, pander, rmarkdown
Reverse suggests: CompareCausalNetworks

Released 7 months ago.

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