Improving Estimation Efficiency in CAR with Imperfect Compliance

We provide a list of functions for replicating the results of the Monte Carlo simulations and empirical application of Jiang et al. (2022). In particular, we provide corresponding functions for generating the three types of random data described in this paper, as well as all the estimation strategies. Detailed information about the data generation process and estimation strategy can be found in Jiang et al. (2022) .


drcarlate

The goal of "drcarlate" is to provides a list of functions for replicating the data simulation portion in Jiang et al.(2022).

Installation

You can install the development version of drcarlate like so:

# The easiest way to get drcarlate is to install from CRAN
install.packages("drcarlate")

Example

See "Introduction to drcarlate" for details.

Reference

Jiang L, Linton O B, Tang H, Zhang Y. Improving estimation efficiency via regression-adjustment in covariate-adaptive randomizations with imperfect compliance [J]. 2022.

library(drcarlate)

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("drcarlate")

1.2.0 by Mingxin Zhang, 3 years ago


Browse source code at https://github.com/cran/drcarlate


Authors: Liang Jiang [aut, cph] , Oliver B. Linton [aut, cph] , Haihan Tang [aut, cph] , Yichong Zhang [aut, cph] , Mingxin Zhang [cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports pracma, MASS, stringr, splus2R, glmnet, stats, purrr

Suggests knitr, rmarkdown


See at CRAN