Package: SBdecomp
Type: Package
Title: Estimation of the Proportion of SB Explained by Confounders
Version: 1.2
Date: 2021-11-14
Author: Layla Parast
Maintainer: Layla Parast <parast@austin.utexas.edu>
Description: Uses parametric and nonparametric methods to quantify the
        proportion of the estimated selection bias (SB) explained by
        each observed confounder when estimating propensity score
        weighted treatment effects. Parast, L and Griffin, BA (2020).
        "Quantifying the Bias due to Observed Individual Confounders in
        Causal Treatment Effect Estimates". Statistics in Medicine,
        39(18): 2447- 2476 <doi: 10.1002/sim.8549>.
License: GPL
Imports: stats, twang, graphics, survey
Config/pak/sysreqs: make libjpeg-dev libpng-dev
Repository: https://laylaparast.r-universe.dev
Date/Publication: 2026-01-29 04:07:01 UTC
RemoteUrl: https://github.com/laylaparast/sbdecomp
RemoteRef: HEAD
RemoteSha: d844d9b9a4d28fa1513766c73e69626c218167eb
NeedsCompilation: no
Packaged: 2026-07-03 16:41:31 UTC; root
Depends: R (>= 3.5.0)