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'))

Peer review:

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

Datasets:

On CRAN:

4.48 score 6 stars 8 scripts 336 downloads 9 exports 39 dependencies

Last updated 7 years agofrom:8cc7290985. Checks:OK: 3 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-win-x86_64OKOct 25 2024
R-4.5-linux-x86_64OKOct 25 2024
R-4.4-win-x86_64NOTEOct 25 2024
R-4.4-mac-x86_64NOTEOct 25 2024
R-4.4-mac-aarch64NOTEOct 25 2024
R-4.3-win-x86_64NOTEOct 25 2024
R-4.3-mac-x86_64NOTEOct 25 2024
R-4.3-mac-aarch64NOTEOct 25 2024

Exports:backShiftbootstrapBackShiftcomputeDiagonalizationgenerateAmetricsThresholdplotDiagonalizationplotGraphEdgeAttrplotInterventionVarssimulateInterventions

Dependencies:cliclueclustercolorspacecpp11fansifarverggplot2gluegtableigraphisobandlabelinglatticelifecyclemagrittrMASSMatrixmatrixcalcmgcvmunsellmvnmlenlmepillarpkgconfigplyrR6RColorBrewerRcppreshape2rlangscalesstringistringrtibbleutf8vctrsviridisLitewithr

Learning cyclic causal graphs with backShift

Christina Heinze-Deml

Rendered fromexampleBackShift.Rmdusingknitr::rmarkdownon Oct 25 2024.

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