Causal Discovery from Discrete Data using Hidden Compact Representation R package HCR version 0.1.1 This code provides a method to fit the hidden compact representation model as well as to identify the causal direction on discrete data. We implement an effective solution to recover the above hidden compact representation under the likelihood framework. Please see the Causal Discovery from Discrete Data using Hidden Compact Representation from NIPS 2018 by Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang and Zhifeng Hao (2018) <https://nips.cc/Conferences/2018/Schedule?showEvent=11274> for a description of some of our methods. Software Imports: data.table (>= 1.10.4), methods Jie Qiao <qiaojie.chn@gmail.com> Comprehensive R Archive Network (CRAN) Jie Qiao [aut, cre], Ruichu Cai [ths, aut], Kun Zhang [ths, aut], Zhenjie Zhang [ths, aut], Zhifeng Hao [ths, aut] GPL (>= 2) 2018-10-26 application/tgz https://CRAN.R-project.org/package=HCR doi:10.32614/CRAN.package.HCR