Package: IPWpn
Type: Package
Title: Inverse-Propensity-Weighting for Partially Nested Designs
Version: 0.1.0
Author: Xiao Liu
Maintainer: Xiao Liu <xliu19@nd.edu>
Description: Use inverse-propensity-weighted estimation approaches to estimating the treatment effect from a partially nested design where one study arm (the treatment arm) is nested and the other study arm (the control arm) is not. Two estimators are provided: IPW mean difference and IPW multilevel modeling. <https://github.com/xliu12/IPWpn>.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: MplusAutomation, tidyverse, mvtnorm, stats, utils, dplyr,
        tibble, tidyr
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, testthat (>= 2.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 2
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-04-11 14:22:18 UTC; xliu19
Repository: CRAN
Date/Publication: 2021-04-13 13:30:05 UTC
Built: R 4.0.2; ; 2021-04-14 11:03:02 UTC; unix
