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-4.5)PSweight_1.2.0.zip(r-4.4)PSweight_1.2.0.zip(r-4.3)
PSweight_1.2.0.tgz(r-4.4-any)PSweight_1.2.0.tgz(r-4.3-any)
PSweight_1.2.0.tar.gz(r-4.5-noble)PSweight_1.2.0.tar.gz(r-4.4-noble)
PSweight_1.2.0.tgz(r-4.4-emscripten)PSweight_1.2.0.tgz(r-4.3-emscripten)
PSweight.pdf |PSweight.html
PSweight/json (API)
NEWS

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

Peer review:

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:

5.46 score 21 stars 2 packages 46 scripts 648 downloads 7 exports 52 dependencies

Last updated 7 months agofrom:671f2a03b1. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-winWARNINGOct 26 2024
R-4.5-linuxWARNINGOct 26 2024
R-4.4-winWARNINGOct 26 2024
R-4.4-macWARNINGOct 26 2024
R-4.3-winWARNINGOct 26 2024
R-4.3-macWARNINGOct 26 2024

Exports:OUTmethodPSmethodPStrimPSweightPSweight_clSumStatSumStat_cl

Dependencies:bitopsbootcaToolsclicodetoolscolorspacecvAUCdata.tablefansifarverforeachgamgbmggplot2gluegplotsgtablegtoolsisobanditeratorsKernSmoothlabelinglatticelifecyclelme4magrittrMASSMatrixmgcvminqamunsellnlmenloptrnnetnnlsnumDerivpillarpkgconfigR6RColorBrewerRcppRcppEigenrlangROCRscalesSuperLearnersurvivaltibbleutf8vctrsviridisLitewithr