Package: drcarlate
Type: Package
Title: Improving Estimation Efficiency in CAR with Imperfect Compliance
Version: 1.2.0
Authors@R: 
    c(person(given = "Liang",
             family = "Jiang",
             role = c("aut", "cph"),
             email = "jiangliang@fudan.edu.cn"),
             person(given = "Oliver B.",
             family = "Linton",
             role = c("aut", "cph"),
             email = "obl20@cam.ac.uk"),
             person(given = "Haihan",
             family = "Tang",
             role = c("aut", "cph"),
             email = "hhtang@fudan.edu.cn"),
             person(given = "Yichong",
             family = "Zhang",
             role = c("aut", "cph"),
             email = "yczhang@smu.edu.sg"),
             person(given = "Mingxin",
             family = "Zhang",
             role = c("cre"),
             email = "21110680035@m.fudan.edu.cn"))
Description: 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)  <doi:10.48550/arXiv.2201.13004>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL:
Imports: pracma, MASS, stringr, splus2R, glmnet, stats, purrr
RoxygenNote: 7.2.3
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2023-06-11 15:14:03 UTC; mingxin_zhang
Author: Liang Jiang [aut, cph],
  Oliver B. Linton [aut, cph],
  Haihan Tang [aut, cph],
  Yichong Zhang [aut, cph],
  Mingxin Zhang [cre]
Maintainer: Mingxin Zhang <21110680035@m.fudan.edu.cn>
Repository: CRAN
Date/Publication: 2023-06-12 09:40:02 UTC
Built: R 4.6.0; ; 2026-04-28 02:26:44 UTC; unix
