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>.
Version: 1.2.0 Depends: R (≥ 2.10) Imports: pracma, MASS, stringr, splus2R, glmnet, stats, purrr Suggests: knitr, rmarkdown Published: 2023-06-12 DOI: 10.32614/CRAN.package.drcarlate 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 at m.fudan.edu.cn> License: MIT + file LICENSE NeedsCompilation: no Materials: README, NEWS CRAN checks: drcarlate results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=drcarlate to link to this page.
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