Package: PSor 0.1.0

PSor: Semiparametric Principal Stratification Analysis Beyond Monotonicity

Estimates principal causal effects under principal stratification using a margin-free, conditional odds ratio sensitivity parameter. This framework unifies the monotonicity assumption and the counterfactual intermediate independence assumption, allowing for robust analysis when monotonicity may not hold. Computes point estimates, standard errors, and confidence intervals for conditionally doubly robust and debiased machine learning estimators. The methodological details are described in Tong, Kahan, Harhay, and Li (2025) <doi:10.48550/arXiv.2501.17514>.

Authors:Jiaqi Tong [aut, cre], Brennan Kahan [ctb], Michael O. Harhay [ctb], Fan Li [ctb]

PSor_0.1.0.tar.gz
PSor_0.1.0.zip(r-4.7-any)PSor_0.1.0.zip(r-4.6-any)PSor_0.1.0.zip(r-4.5-any)
PSor_0.1.0.tgz(r-4.6-any)PSor_0.1.0.tgz(r-4.5-any)
PSor_0.1.0.tar.gz(r-4.7-any)PSor_0.1.0.tar.gz(r-4.6-any)
PSor_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
PSor/json (API)

# Install 'PSor' in R:
install.packages('PSor', repos = c('https://deckardt98.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/deckardt98/psor/issues

On CRAN:

Conda:

causal-inferencedebiased-machine-learningdoubly-robust-estimationmanuscript-codeprincipal-stratificationresearch-softwaresensitivity-analysis

3.18 score 287 downloads 2 exports 92 dependencies

Last updated from:6d960d61e0. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK150
source / vignettesOK254
linux-releaseOK196
macos-releaseOK201
macos-oldrelOK215
windows-develOK122
windows-releaseOK122
windows-oldrelOK127
wasm-releaseOK124

Exports:%>%PSor.fit

Dependencies:bitopsbootcaretcaToolsclasscliclockcodetoolscpp11cvAUCdata.tablediagramdigestdplyre1071farverforeachfuturefuture.applygamgeexgenericsggplot2globalsgluegowergplotsgtablegtoolshardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlme4lubridatemagrittrMASSMatrixminqaModelMetricsnlmenloptrnnetnnlsnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6rbibutilsRColorBrewerRcppRcppEigenRdpackrecipesreformulasreshape2rlangROCRrootSolverpartS7scalesshapesparsevctrsSQUAREMstringistringrSuperLearnersurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr