Package: pcalg 2.7-12
pcalg: Methods for Graphical Models and Causal Inference
Functions for causal structure learning and causal inference using graphical models. The main algorithms for causal structure learning are PC (for observational data without hidden variables), FCI and RFCI (for observational data with hidden variables), and GIES (for a mix of data from observational studies (i.e. observational data) and data from experiments involving interventions (i.e. interventional data) without hidden variables). For causal inference the IDA algorithm, the Generalized Backdoor Criterion (GBC), the Generalized Adjustment Criterion (GAC) and some related functions are implemented. Functions for incorporating background knowledge are provided.
Authors:
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pcalg.pdf |pcalg.html✨
pcalg/json (API)
NEWS
# Install 'pcalg' in R: |
install.packages('pcalg', repos = c('https://r-forge.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://r-forge.r-project.org/projects/pcalg
- gmB - Graphical Model 5-Dim Binary Example Data
- gmD - Graphical Model Discrete 5-Dim Example Data
- gmG - Graphical Model 8-Dimensional Gaussian Example Data
- gmG8 - Graphical Model 8-Dimensional Gaussian Example Data
- gmI - Graphical Model 7-dim IDA Data Examples
- gmI7 - Graphical Model 7-dim IDA Data Examples
- gmInt - Graphical Model 8-Dimensional Interventional Gaussian Example Data
- gmL - Latent Variable 4-Dim Graphical Model Data Example
Last updated 3 months agofrom:c78fb4b98a. Checks:OK: 3 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 11 2024 |
R-4.5-win-x86_64 | OK | Nov 11 2024 |
R-4.5-linux-x86_64 | OK | Nov 11 2024 |
R-4.4-win-x86_64 | NOTE | Nov 11 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 11 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 11 2024 |
R-4.3-win-x86_64 | NOTE | Nov 11 2024 |
R-4.3-mac-x86_64 | NOTE | Nov 11 2024 |
R-4.3-mac-aarch64 | NOTE | Nov 11 2024 |
Exports:addBgKnowledgeadjustmentagesallDagsamat2dagbackdoorbeta.specialbeta.special.pcObjbinCItestcausalEffectcheckTriplecompareGraphscondIndFisherZcorGraphdag2cpdagdag2essgraphdag2pagdisCItestdreachdsepdsepAMdsepAMTestdsepTestfcifciPlusfind.unsh.triplegacgaussCItestgdsgesgetGraphgetNextSetgiesgSquareBingSquareDisidaidaFastiplotPCisValidGraphjointIdalegal.pathlingamLINGAMmat2targetsmcoropt.targetoptAdjSetpag2ancpag2confpag2edgepag2magAMpcpc.cons.internpcalg2dagittypcAlgopcAlgo.PerfectpcorOrderpcSelectpcSelect.preselpdag2allDagspdag2dagpdsepplotplotAGplotSGpossAnpossDepossibleDeqreachr.gauss.pardagrandDAGrandomDAGrfcirfci.vStrucrmvDAGrmvnorm.iventsearchAMshdshowshowAmatshowEdgeListsimyskeletonsummarytargets2mattriple2numbtrueCovudag2apagudag2pagudag2pdagudag2pdagRelaxedudag2pdagSpecialvisibleEdgewgtMatrixzStat
Dependencies:abindbdsmatrixBHBiocGenericsBiocManagercliclueclustercolorspacecorpcorcpp11DEoptimRfastICAgenericsggmgluegraphigraphlatticelifecyclelmtestmagrittrMASSMatrixpkgconfigRBGLRcppRcppArmadillorlangrobustbasesfsmiscvcdvctrszoo