HCR

Causal Discovery on Discrete Data using Hidden Compact Representation

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 on 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.

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Description file content

Package
HCR
Type
Package
Title
Causal Discovery on Discrete Data using Hidden Compact Representation
Version
0.1.0
Author
Jie Qiao [aut, cre], Ruichu Cai [ths, aut], Kun Zhang [ths, aut], Zhenjie Zhang [ths, aut], Zhifeng Hao [ths, aut]
Maintainer
Jie Qiao
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 on 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.
License
GPL (>= 2)
Encoding
UTF-8
LazyData
true
Imports
data.table (>= 1.10.4), methods
RoxygenNote
6.1.0
NeedsCompilation
no
Packaged
2018-10-08 11:49:22 UTC; qj
Repository
CRAN
Date/Publication
2018-10-08 12:30:03 UTC

install.packages('HCR')

0.1.0

11 days ago

Jie Qiao

GPL (>= 2)

Imports

data.table (>= 1.10.4), methods

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