Package: noncomplyR
Type: Package
Title: Bayesian Analysis of Randomized Experiments with Non-Compliance
Version: 1.0
Date: 2017-07-25
Authors@R: person("Scott", "Coggeshall", email = "sscogges@uw.edu", role = c("aut", "cre"))
Author: Scott Coggeshall [aut, cre]
Maintainer: Scott Coggeshall <sscogges@uw.edu>
Description: Functions for Bayesian analysis of data from randomized
        experiments with non-compliance. The functions are based on the
        models described in Imbens and Rubin (1997)
        <doi:10.1214/aos/1034276631>. Currently only two types of
        outcome models are supported: binary outcomes and normally
        distributed outcomes. Models can be fit with and without the
        exclusion restriction and/or the strong access monotonicity
        assumption. Models are fit using the data augmentation
        algorithm as described in Tanner and Wong (1987)
        <doi:10.2307/2289457>.
License: GPL-2
LazyData: TRUE
RoxygenNote: 5.0.1
Imports: MCMCpack (>= 1.4.0), stats
Suggests: knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-03 11:23:23 UTC; root
Repository: https://sscogges.r-universe.dev
Date/Publication: 2017-08-24 07:30:38 UTC
RemoteUrl: https://github.com/cran/noncomplyR
RemoteRef: HEAD
RemoteSha: 1a9f8c2b42a4242724d08dab2e9a1c30cde4038b