IUPS: Incorporating Uncertainties in Propensity Scores
Version 1.0

This package includes functions to incorporate uncertainties in estimated propensity scores and provide adjusted standard errors for making valid causal inference.

AuthorWeihua An, Huizi Xu, and Zhida Zheng, Indiana University Bloomington
Date of publication2013-06-06 07:56:42
MaintainerWeihua An <weihuaan@indiana.edu>
LicenseGPL-3
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("IUPS")

Popular man pages

bpsm: Bayesian Propensity Score Matching
bpsr: Bayesian Propensity Score Regression
modelpsm: modelpsm
modelpsr: modelpsr
sortps: Sorting Propensity Scores
See all...

All man pages Function index File listing

Man pages

bpsm: Bayesian Propensity Score Matching
bpsr: Bayesian Propensity Score Regression
modelpsm: modelpsm
modelpsr: modelpsr
sortps: Sorting Propensity Scores

Functions

bpsm Man page Source code
bpsr Man page Source code
modelpsm Man page Source code
modelpsr Man page Source code
sortps Man page Source code

Files

MD5
R
R/sortps.R
R/modelpsr.R
R/modelpsm.R
R/bpsr.R
R/bpsm.R
NAMESPACE
man
man/sortps.Rd
man/modelpsr.Rd
man/modelpsm.Rd
man/bpsr.Rd
man/bpsm.Rd
DESCRIPTION
IUPS documentation built on May 19, 2017, 6:58 a.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

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