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HCR  

Causal Discovery from Discrete Data using Hidden Compact Representation
View on CRAN: Click here


Download and install HCR package within the R console
Install from CRAN:
install.packages("HCR")

Install from Github:
library("remotes")
install_github("cran/HCR")

Install by package version:
library("remotes")
install_version("HCR", "0.1.1")



Attach the package and use:
library("HCR")
Maintained by
Jie Qiao
[Scholar Profile | Author Map]
First Published: 2018-10-08
Latest Update: 2018-10-26
Description:
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) for a description of some of our methods.
How to cite:
Jie Qiao (2018). HCR: Causal Discovery from Discrete Data using Hidden Compact Representation. R package version 0.1.1, https://cran.r-project.org/web/packages/HCR. Accessed 29 Apr. 2025.
Previous versions and publish date:
0.1.0 (2018-10-08 14:30)
Other packages that cited HCR R package
View HCR citation profile
Other R packages that HCR depends, imports, suggests or enhances
Complete documentation for HCR
Functions, R codes and Examples using the HCR R package
Some associated functions: HCR.fast . HCR . simuXY . 
Some associated R codes: HCR.R . fit_model.R . utility_functions.R .  Full HCR package functions and examples
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