DESCRIPTION

Package: IntegrativeCI
Type: Package
Title: Integrative Analyses of the Average Treatment Effect Combining Big Main Data and Smaller Validation Data
Version: 0.1.0
Author: Shu Yang
Maintainer: Shu Yang <syang24@ncsu.edu>
Description: Implements integrative analyses for the average treatment effect combining main data with unmeasured confounders and validation data with supplementary information on these confounders. 
License: GPL (>=2)
Encoding: UTF-8
LazyData: true
Depends: MASS, ks, Matching, stats
RoxygenNote: 6.1.1
Reference: Yang, S. and Ding, P. (2018) Combining multiple observational data sources to estimate causal effects.<https://arxiv.org/abs/1801.00802>