Package: CausalQueries 1.3.3
CausalQueries: Make, Update, and Query Binary Causal Models
Users can declare causal models over binary nodes, update beliefs about causal types given data, and calculate arbitrary queries. Updating is implemented in 'stan'. See Humphreys and Jacobs, 2023, Integrated Inferences (<doi:10.1017/9781316718636>) and Pearl, 2009 Causality (<doi:10.1017/CBO9780511803161>).
Authors:
CausalQueries_1.3.3.tar.gz
CausalQueries_1.3.3.zip(r-4.5)CausalQueries_1.3.3.zip(r-4.4)CausalQueries_1.3.3.zip(r-4.3)
CausalQueries_1.3.3.tgz(r-4.5-x86_64)CausalQueries_1.3.3.tgz(r-4.5-arm64)CausalQueries_1.3.3.tgz(r-4.4-x86_64)CausalQueries_1.3.3.tgz(r-4.4-arm64)CausalQueries_1.3.3.tgz(r-4.3-x86_64)CausalQueries_1.3.3.tgz(r-4.3-arm64)
CausalQueries_1.3.3.tar.gz(r-4.5-noble)CausalQueries_1.3.3.tar.gz(r-4.4-noble)
CausalQueries.pdf |CausalQueries.html✨
CausalQueries/json (API)
NEWS
# Install 'CausalQueries' in R: |
install.packages('CausalQueries', repos = c('https://integrated-inferences.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/integrated-inferences/causalqueries/issues
Pkgdown site:https://integrated-inferences.github.io
- democracy_data - Development and Democratization: Data for replication of analysis in *Integrated Inferences*
- institutions_data - Institutions and growth: Data for replication of analysis in *Integrated Inferences*
- lipids_data - Lipids: Data for Chickering and Pearl replication
bayescausaldagsmixedmethodsstancpp
Last updated 1 months agofrom:08bece4a1b. Checks:5 OK, 7 NOTE. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 24 2025 |
R-4.5-win-x86_64 | OK | Mar 24 2025 |
R-4.5-mac-x86_64 | OK | Mar 24 2025 |
R-4.5-mac-aarch64 | OK | Mar 24 2025 |
R-4.5-linux-x86_64 | OK | Mar 24 2025 |
R-4.4-win-x86_64 | NOTE | Mar 24 2025 |
R-4.4-mac-x86_64 | NOTE | Mar 24 2025 |
R-4.4-mac-aarch64 | NOTE | Mar 24 2025 |
R-4.4-linux-x86_64 | NOTE | Mar 24 2025 |
R-4.3-win-x86_64 | NOTE | Mar 24 2025 |
R-4.3-mac-x86_64 | NOTE | Mar 24 2025 |
R-4.3-mac-aarch64 | NOTE | Mar 24 2025 |
Exports:collapse_datacomplementsdecreasingdraw_causal_typeexpand_dataget_all_data_typesget_event_probabilitiesget_query_typesgrabincreasinginspectinteractsinterpret_typemake_datamake_eventsmake_modelmake_parametersmake_priorsnon_decreasingnon_increasingplot_modelquery_distributionquery_modelrealise_outcomesset_confoundset_parameter_matrixset_parametersset_prior_distributionset_priorsset_restrictionssubstitutesteupdate_model
Dependencies:abindbackportsBHcachemcallrcheckmateclicolorspacecpp11descdirmultdistributionaldplyrevaluatefansifarverfastmapgenericsggforceggplot2ggraphggrepelgluegraphlayoutsgridExtragtablehighrigraphinlineisobandjsonliteknitrlabelinglatex2explatticelifecycleloomagrittrMASSMatrixmatrixStatsmemoisemgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigpolyclipposteriorprocessxpspurrrQuickJSRR6RColorBrewerRcppRcppArmadilloRcppEigenRcppParallelrlangrstanrstantoolsscalesStanHeadersstringistringrsystemfontstensorAtibbletidygraphtidyrtidyselecttweenrutf8vctrsviridisviridisLitewithrxfunyaml
Canonical causal models
Rendered fromc-canonical-models.Rmd
usingknitr::rmarkdown
on Mar 24 2025.Last update: 2025-02-12
Started: 2024-11-25
Getting Started
Rendered froma-getting-started.Rmd
usingknitr::rmarkdown
on Mar 24 2025.Last update: 2025-02-12
Started: 2024-09-26
Inspecting posteriors
Rendered frome-posteriors.Rmd
usingknitr::rmarkdown
on Mar 24 2025.Last update: 2025-02-12
Started: 2024-11-25
Plotting models
Rendered fromb-plotting.Rmd
usingknitr::rmarkdown
on Mar 24 2025.Last update: 2024-12-17
Started: 2024-09-26
Through the front door
Rendered fromd-front-door.Rmd
usingknitr::rmarkdown
on Mar 24 2025.Last update: 2025-02-12
Started: 2024-11-25