Package: PSweight 1.2.0

Yukang Zeng

PSweight: Propensity Score Weighting for Causal Inference with Observational Studies and Randomized Trials

Supports propensity score weighting analysis of observational studies and randomized trials. Enables the estimation and inference of average causal effects with binary and multiple treatments using overlap weights (ATO), inverse probability of treatment weights (ATE), average treatment effect among the treated weights (ATT), matching weights (ATM) and entropy weights (ATEN), with and without propensity score trimming. These weights are members of the family of balancing weights introduced in Li, Morgan and Zaslavsky (2018) <doi:10.1080/01621459.2016.1260466> and Li and Li (2019) <doi:10.1214/19-AOAS1282>.

Authors:Tianhui Zhou [aut], Guangyu Tong [aut], Fan Li [aut], Laine Thomas [aut], Fan Li [aut], Yukang Zeng [cre]

PSweight_1.2.0.tar.gz
PSweight_1.2.0.zip(r-4.7-any)PSweight_1.2.0.zip(r-4.6-any)PSweight_1.2.0.zip(r-4.5-any)
PSweight_1.2.0.tgz(r-4.6-any)PSweight_1.2.0.tgz(r-4.5-any)
PSweight_1.2.0.tar.gz(r-4.7-any)PSweight_1.2.0.tar.gz(r-4.6-any)
PSweight_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
PSweight/json (API)

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

Bug tracker:https://github.com/thuizhou/psweight/issues

Datasets:
  • NCDS - Illustrative dataset for PSweight
  • psdata - Simulated dataset for PSweight
  • psdata_cl - Simulated dataset for PSweight

On CRAN:

Conda:

5.78 score 28 stars 2 packages 72 scripts 749 downloads 7 exports 48 dependencies

Last updated from:671f2a03b1. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develWARNING173
source / vignettesOK200
linux-releaseWARNING146
macos-releaseWARNING231
macos-oldrelWARNING240
windows-develWARNING107
windows-releaseWARNING121
windows-oldrelWARNING112
wasm-releaseOK127

Exports:OUTmethodPSmethodPStrimPSweightPSweight_clSumStatSumStat_cl

Dependencies:bitopsbootcaToolsclicodetoolscpp11cvAUCdata.tablefarverforeachgamgbmggplot2gluegplotsgtablegtoolsisobanditeratorsKernSmoothlabelinglatticelifecyclelme4MASSMatrixminqanlmenloptrnnetnnlsnumDerivR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangROCRS7scalesSuperLearnersurvivalvctrsviridisLitewithr