Package: SID 1.1

SID: Structural Intervention Distance

The code computes the structural intervention distance (SID) between a true directed acyclic graph (DAG) and an estimated DAG. Definition and details about the implementation can be found in J. Peters and P. Bühlmann: "Structural intervention distance (SID) for evaluating causal graphs", Neural Computation 27, pages 771-799, 2015.

Authors:Jonas Peters

SID_1.1.tar.gz
SID_1.1.zip(r-4.5)SID_1.1.zip(r-4.4)SID_1.1.zip(r-4.3)
SID_1.1.tgz(r-4.4-any)SID_1.1.tgz(r-4.3-any)
SID_1.1.tar.gz(r-4.5-noble)SID_1.1.tar.gz(r-4.4-noble)
SID_1.1.tgz(r-4.4-emscripten)SID_1.1.tgz(r-4.3-emscripten)
SID.pdf |SID.html✨
SID/json (API)

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

Peer review:

Bug tracker:https://github.com/fkgruber/sid_cran/issues

On CRAN:

3.92 score 2 stars 21 scripts 273 downloads 56 mentions 5 exports 35 dependencies

Last updated 12 months agofrom:01f932e96d. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winOKNov 01 2024
R-4.5-linuxOKNov 01 2024
R-4.4-winOKNov 01 2024
R-4.4-macOKNov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

Exports:computePathMatrixcomputePathMatrix2hammingDistrandomDAGstructIntervDist

Dependencies:abindbdsmatrixBHBiocGenericsBiocManagercliclueclustercolorspacecorpcorcpp11DEoptimRfastICAgenericsggmgluegraphigraphlatticelifecyclelmtestmagrittrMASSMatrixpcalgpkgconfigRBGLRcppRcppArmadillorlangrobustbasesfsmiscvcdvctrszoo