Package: causalOT 1.0.2.9000
causalOT: Optimal Transport Weights for Causal Inference
Uses optimal transport distances to find probabilistic matching estimators for causal inference. These methods are described in Dunipace, Eric (2021) <arxiv:2109.01991>. The package will build the weights, estimate treatment effects, and calculate confidence intervals via the methods described in the paper. The package also supports several other methods as described in the help files.
Authors:
causalOT_1.0.2.9000.tar.gz
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causalOT.pdf |causalOT.html✨
causalOT/json (API)
NEWS
# Install 'causalOT' in R: |
install.packages('causalOT', repos = c('https://ericdunipace.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ericdunipace/causalot/issues
- pph - An external control trial of treatments for post-partum hemorrhage
Last updated 3 months agofrom:029378b204. Checks:OK: 3 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 04 2024 |
R-4.5-win-x86_64 | OK | Nov 04 2024 |
R-4.5-linux-x86_64 | OK | Nov 04 2024 |
R-4.4-win-x86_64 | NOTE | Nov 04 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 04 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 04 2024 |
R-4.3-win-x86_64 | NOTE | Nov 04 2024 |
R-4.3-mac-x86_64 | NOTE | Nov 04 2024 |
R-4.3-mac-aarch64 | NOTE | Nov 04 2024 |
Exports:barycentric_projectioncalc_weightcotOptionsCRASH3dataHolderDataSimdf2dataHolderentBWOptionsESSestimate_effectHainmuellerLaLondemean_balanceMeasureot_distanceOTProblemPSISPSIS_diagsbwOptionsscmOptionssupported_methods
Dependencies:abindbackportsBHbitbit64callrCBPScheckmatechkclicodetoolscolorspacecorodescdistributionalellipsisfansifarverforeachgenericsggplot2glmnetgluegtableisobanditeratorsjsonlitelabelinglatticelbfgsb3clifecycleloomagrittrMASSMatchItMatrixmatrixStatsmgcvmunsellnlmennetnumDerivosqppillarpkgconfigposteriorprocessxpsR6RColorBrewerRcppRcppArmadilloRcppEigenRcppProgressrlangsafetensorssandwichscalesshapesurvivaltensorAtibbletorchutf8vctrsviridisLitewithrzoo