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: 2020-07-13 18:37:05 UTC; ASUS
Repository: CRAN
Date/Publication: 2020-07-14 16:30:02 UTC
Built: R 4.2.0; ; 2023-04-01 13:29:06 UTC; unix
