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CRAN: Package backShift

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: Downloads: Reverse dependencies: Linking:

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