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)PSweight_1.2.0.zip(r-4.6)PSweight_1.2.0.zip(r-4.5)
PSweight_1.2.0.tgz(r-4.6-any)PSweight_1.2.0.tgz(r-4.5-any)
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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:

5.77 score 28 stars 2 packages 70 scripts 803 downloads 7 exports 48 dependencies

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

Target	Result	Time
linux-devel-x86_64	WARNING	142
source / vignettes	OK	201
linux-release-x86_64	WARNING	152
macos-release-arm64	WARNING	147
macos-oldrel-arm64	WARNING	154
windows-devel	WARNING	113
windows-release	WARNING	125
windows-oldrel	WARNING	115
wasm-release	OK	108

Exports:OUTmethod PSmethod PStrim PSweight PSweight_cl SumStat SumStat_cl

Dependencies:bitops boot caTools cli codetools cpp11 cvAUC data.table farver foreach gam gbm ggplot2 glue gplots gtable gtools isoband iterators KernSmooth labeling lattice lifecycle lme4 MASS Matrix minqa nlme nloptr nnet nnls numDeriv R6 rbibutils RColorBrewer Rcpp RcppEigen Rdpack reformulas rlang ROCR S7 scales SuperLearner survival vctrs viridisLite withr

Help page	Topics
Point estimates of PSweight	coef.PSweight
Illustrative dataset for PSweight	NCDS
Fitting potential outcome regression with different methods	OUTmethod
Plot the distribution of propensity scores and balance statistics	plot.SumStat
Print the results of PStrim	print.PStrim
Print the results of PSweight	print.PSweight
Print the results of Summary.PSweight	print.PSweightsum
Print the results of SumStat	print.SumStat
Print the results of Summary.SumStat	print.SumSumStat
Simulated dataset for PSweight	psdata
Simulated dataset for PSweight	psdata_cl
Fitting propensity score models with different methods	PSmethod
Trim the input data and propensity estimate	PStrim
Estimate average causal effects by propensity score weighting	PSweight
Estimate average causal effects by propensity score weighting for a binary treatment with clustering.	PSweight_cl
Summarize a PSweight object	summary.PSweight
Summarize a SumStat object.	summary.SumStat
Calculate summary statistics for propensity score weighting	SumStat
Calculate summary statistics for propensity score weighting with clustering (for binary treatment only)	SumStat_cl
Variance of PSweight	vcov.PSweight

Package: PSweight 1.2.0

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

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