Package: CausalGPS 0.5.0
CausalGPS: Matching on Generalized Propensity Scores with Continuous Exposures
Provides a framework for estimating causal effects of a continuous exposure using observational data, and implementing matching and weighting on the generalized propensity score. Wu, X., Mealli, F., Kioumourtzoglou, M.A., Dominici, F. and Braun, D., 2022. Matching on generalized propensity scores with continuous exposures. Journal of the American Statistical Association, pp.1-29.
Authors:
CausalGPS_0.5.0.tar.gz
CausalGPS_0.5.0.tar.gz(r-4.5-noble)CausalGPS_0.5.0.tar.gz(r-4.4-noble)
CausalGPS_0.5.0.tgz(r-4.4-emscripten)CausalGPS_0.5.0.tgz(r-4.3-emscripten)
CausalGPS.pdf |CausalGPS.html✨
CausalGPS/json (API)
NEWS
# Install 'CausalGPS' in R: |
install.packages('CausalGPS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/nsaph-software/causalgps/issues
- synthetic_us_2010 - Public data set for air pollution and health studies, case study: 2010 county-Level data set for the contiguous United States
Last updated 6 months agofrom:782b6809cb. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 17 2024 |
R-4.5-linux-x86_64 | OK | Nov 17 2024 |
Exports:absolute_corr_funabsolute_weighted_corr_funcheck_covar_balancecompile_pseudo_popcompute_counter_weightestimate_erfestimate_gpsgenerate_pseudo_popgenerate_syn_dataget_loggerset_loggertrim_it
Dependencies:admiscbitopscaretcaToolsclasscliclockcodetoolscolorspacecowplotcpp11cvAUCdata.tablediagramdigestdplyre1071Ecumefansifarverforeachfuturefuture.applygamgenericsggplot2globalsgluegnmgowergplotsgtablegtoolshardhatipredisobanditeratorsjsonlitekernlabKernSmoothlabelinglatticelavalifecyclelistenvlocpolloggerlubridatemagrittrMASSMatrixmgcvminqamnormtModelMetricsmunsellmvtnormnlmennetnnlsnumDerivparallellypbapplypillarpkgconfigplyrpolycorpROCprodlimprogressrproxypurrrqvcalcR6RColorBrewerRcppRcppArmadilloRcppEigenrecipesrelimpreshape2rlangROCRrpartscalesshapespatstat.univarspatstat.utilsSQUAREMstringistringrSuperLearnersurvivaltibbletidyrtidyselecttimechangetimeDatetransporttzdbutf8vctrsviridisLitewCorrwithrxgboost
CausalGPS
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usingknitr::rmarkdown
on Nov 17 2024.Last update: 2024-06-20
Started: 2021-07-23
Developers Guide
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usingknitr::rmarkdown
on Nov 17 2024.Last update: 2023-09-30
Started: 2021-09-06
Estimating GPS
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usingknitr::rmarkdown
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Started: 2021-09-06
Frequently Asked Questions
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usingknitr::rmarkdown
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Generate Synthetic Data
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usingknitr::rmarkdown
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Started: 2021-09-06
Generating Pseudo Population
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usingknitr::rmarkdown
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Notes on SL Wrappers
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usingknitr::rmarkdown
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Outcome Models
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usingknitr::rmarkdown
on Nov 17 2024.Last update: 2021-09-06
Started: 2021-09-06
Singularity
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usingknitr::rmarkdown
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Started: 2022-02-07
Testing the Package
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usingknitr::rmarkdown
on Nov 17 2024.Last update: 2023-05-25
Started: 2021-09-06