mmpcAnm: mmpc algorithm with additive noise model
In DMIRLAB-Group/SELF: A Structural Equation Embedded Likelihood Framework for Causal Discovery
Description
The nonlinear data comparison algorithm. We use the mmpc algorithm to learn a causal skeleton and use ANM to recognize the direction
Usage
1
Arguments
data
The data
DMIRLAB-Group/SELF documentation built on May 28, 2019, 12:18 p.m.
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Description
The nonlinear data comparison algorithm. We use the mmpc algorithm to learn a causal skeleton and use ANM to recognize the direction
Usage
1 |
Arguments
data |
The data |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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