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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 <doi:10.48550/arXiv.1506.02494>.

Version: 0.1.4.3
Depends: R (≥ 3.1.0)
Imports: methods, clue, igraph, matrixcalc, reshape2, ggplot2, MASS
Suggests: knitr, pander, fields, testthat, pcalg, rmarkdown
Published: 2020-05-06
DOI: 10.32614/CRAN.package.backShift
Author: Christina Heinze-Deml
Maintainer: Christina Heinze-Deml <heinzedeml at stat.math.ethz.ch>
BugReports: https://github.com/christinaheinze/backShift/issues
License: GPL-2 | GPL-3 [expanded from: GPL]
URL: https://github.com/christinaheinze/backShift
NeedsCompilation: yes
CRAN checks: backShift results

Documentation:

Reference manual: backShift.pdf
Vignettes: backShift demo

Downloads:

Package source: backShift_0.1.4.3.tar.gz
Windows binaries: r-devel: backShift_0.1.4.3.zip, r-release: backShift_0.1.4.3.zip, r-oldrel: backShift_0.1.4.3.zip
macOS binaries: r-release (arm64): backShift_0.1.4.3.tgz, r-oldrel (arm64): backShift_0.1.4.3.tgz, r-release (x86_64): backShift_0.1.4.3.tgz, r-oldrel (x86_64): backShift_0.1.4.3.tgz
Old sources: backShift archive

Reverse dependencies:

Reverse suggests: CompareCausalNetworks

Linking:

Please use the canonical form https://CRAN.R-project.org/package=backShift to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.