Package: backShift 0.1.4.2

Christina Heinze-Deml

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 <arxiv:1506.02494>.

Authors:Christina Heinze-Deml <[email protected]>

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backShift.pdf |backShift.html✨
backShift/json (API)

# Install 'backShift' in R:
install.packages('backShift', repos = c('https://christinaheinze.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/christinaheinze/backshift/issues

Datasets:

On CRAN:

Conda:

4.48 score 6 stars 8 scripts 328 downloads 9 exports 39 dependencies

Last updated 8 years agofrom:8cc7290985. Checks:5 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 24 2025
R-4.5-win-x86_64OKMar 24 2025
R-4.5-mac-x86_64OKMar 24 2025
R-4.5-mac-aarch64OKMar 24 2025
R-4.5-linux-x86_64OKMar 24 2025
R-4.4-win-x86_64NOTEMar 24 2025
R-4.4-mac-x86_64NOTEMar 24 2025
R-4.4-mac-aarch64NOTEMar 24 2025
R-4.4-linux-x86_64NOTEMar 24 2025
R-4.3-win-x86_64NOTEMar 24 2025
R-4.3-mac-x86_64NOTEMar 24 2025
R-4.3-mac-aarch64NOTEMar 24 2025

Exports:backShiftbootstrapBackShiftcomputeDiagonalizationgenerateAmetricsThresholdplotDiagonalizationplotGraphEdgeAttrplotInterventionVarssimulateInterventions

Dependencies:cliclueclustercolorspacecpp11fansifarverggplot2gluegtableigraphisobandlabelinglatticelifecyclemagrittrMASSMatrixmatrixcalcmgcvmunsellmvnmlenlmepillarpkgconfigplyrR6RColorBrewerRcppreshape2rlangscalesstringistringrtibbleutf8vctrsviridisLitewithr

Learning cyclic causal graphs with backShift

Christina Heinze-Deml

Rendered fromexampleBackShift.Rmdusingknitr::rmarkdownon Mar 24 2025.

Last update: 2017-01-05
Started: 2015-08-19