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
NeedsCompilation: no
Packaged: 2021-11-14 13:09:44 UTC; parast
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2021-11-15 09:10:05 UTC
Built: R 4.6.0; ; 2026-04-28 10:33:49 UTC; unix
