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 <>.

Version: 0.1.3
Depends: R (≥ 3.1.0)
Imports: jointDiag, clue, pcalg, igraph, matrixcalc, reshape2, ggplot2
Suggests: knitr, pander, fields, testthat
Published: 2015-10-13
Author: Christina Heinze
Maintainer: Christina Heinze <heinze at>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: backShift results


Reference manual: backShift.pdf
Vignettes: backShift demo
Package source: backShift_0.1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: not available, r-oldrel: not available
OS X Mavericks binaries: r-release: backShift_0.1.3.tgz
Old sources: backShift archive

Reverse dependencies:

Reverse suggests: CompareCausalNetworks