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'))

Peer review:

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

Datasets:

On CRAN:

3.48 score 6 stars 197 downloads 22 exports 61 dependencies

Last updated 1 years agofrom:8fb9c05aca. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 29 2024
R-4.5-winWARNINGOct 29 2024
R-4.5-linuxWARNINGOct 29 2024
R-4.4-winWARNINGOct 29 2024
R-4.4-macWARNINGOct 29 2024
R-4.3-winWARNINGOct 29 2024
R-4.3-macWARNINGOct 29 2024

Exports:make_stancodemake_standataprior_cauchyprior_chisqprior_exponentialprior_flatprior_gammaprior_inv_chisqprior_inv_gammaprior_lassoprior_logisticprior_normalprior_tprior_weibullPSContrastPSFormulaPSObjectPSOutcomePSSamplePStrataPStrataInfosurvival

Dependencies:abindbackportsBHbootcallrcheckmateclicolorspacedescdistributionaldplyrfansifarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecyclelme4loomagrittrMASSMatrixmatrixStatsmgcvminqamunsellnlmenloptrnumDerivpillarpkgbuildpkgconfigposteriorprocessxpspurrrQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanscalesStanHeadersstringistringrtensorAtibbletidyselectutf8vctrsviridisLitewithr