Package: PStrata 0.0.3

PStrata: Principal Stratification Analysis in R

Estimating causal effects in the presence of post-treatment confounding using principal stratification. 'PStrata' allows for customized monotonicity assumptions and exclusion restriction assumptions, with automatic full Bayesian inference supported by 'Stan'. The main function to use in this package is PStrata(), which provides posterior estimates of principal causal effect with uncertainty quantification. Visualization tools are also provided for diagnosis and interpretation. See Liu and Li (2023) <arxiv:2304.02740> for details.

Authors:Bo Liu [aut, cre], Fan Li [ctb]

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PStrata.pdf |PStrata.html
PStrata/json (API)

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

Bug tracker:https://github.com/laubok/pstrata/issues

Datasets:

On CRAN:

Conda:

3.48 score 6 stars 223 downloads 22 exports 64 dependencies

Last updated 1 years agofrom:8fb9c05aca. Checks:1 OK, 8 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 28 2025
R-4.5-winWARNINGMar 28 2025
R-4.5-macWARNINGMar 28 2025
R-4.5-linuxWARNINGMar 28 2025
R-4.4-winWARNINGMar 28 2025
R-4.4-macWARNINGMar 28 2025
R-4.4-linuxWARNINGMar 28 2025
R-4.3-winWARNINGMar 28 2025
R-4.3-macWARNINGMar 28 2025

Exports:make_stancodemake_standataprior_cauchyprior_chisqprior_exponentialprior_flatprior_gammaprior_inv_chisqprior_inv_gammaprior_lassoprior_logisticprior_normalprior_tprior_weibullPSContrastPSFormulaPSObjectPSOutcomePSSamplePStrataPStrataInfosurvival

Dependencies:abindbackportsBHbootcallrcheckmateclicolorspacedescdistributionaldplyrfansifarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecyclelme4loomagrittrMASSMatrixmatrixStatsmgcvminqamunsellnlmenloptrnumDerivpillarpkgbuildpkgconfigposteriorprocessxpspurrrQuickJSRR6rbibutilsRColorBrewerRcppRcppEigenRcppParallelRdpackreformulasrlangrstanscalesStanHeadersstringistringrtensorAtibbletidyselectutf8vctrsviridisLitewithr