Package: ivdesign
Type: Package
Title: Hypothesis Testing in Cluster-Randomized Encouragement Designs
Version: 0.1.0
Author: Bo Zhang
Maintainer: Bo Zhang <bozhan@wharton.upenn.edu>
Description: An implementation of randomization-based hypothesis
        testing for three different estimands in a cluster-randomized
        encouragement experiment. The three estimands include (1)
        testing a cluster-level constant proportional treatment effect
        (Fisher's sharp null hypothesis), (2) pooled effect ratio, and
        (3) average cluster effect ratio. To test the third estimand,
        user needs to install 'Gurobi' (>= 9.0.1) optimizer via its R
        API. Please refer to
        <https://www.gurobi.com/documentation/9.0/refman/ins_the_r_package.html>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Depends: R (>= 2.10)
Suggests: gurobi, Matrix
Imports: stats
NeedsCompilation: no
Packaged: 2026-07-03 10:46:11 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2020-07-14 15:30:02 UTC
RemoteUrl: https://github.com/cran/ivdesign
RemoteRef: HEAD
RemoteSha: 37c2988c285a7f8a0e581b5a1d819d58ef392910