mhpc: Mining combined causes
In masais1205/miningCombinedCauses: Mining combined causes
Description
Usage
Arguments
Value
Author(s)
Description
MH-PC is implemented based on the semi-interleaved HITOn-PC in bnlearn
Usage
1
Arguments
data:
binary data; variant: B for MH-PC-B or F for MH-PC-F
alpha:
threshold of the conditional independece test
supp:
threshold of the pruning scheme
cor.pvalue:
threshold of the pruning scheme
Value
all single and combined causes
Author(s)
Saisai Ma
masais1205/miningCombinedCauses documentation built on Nov. 5, 2019, 2:42 p.m.
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Description Usage Arguments Value Author(s)
Description
MH-PC is implemented based on the semi-interleaved HITOn-PC in bnlearn
Usage
1 |
Arguments
data: |
binary data; variant: B for MH-PC-B or F for MH-PC-F |
alpha: |
threshold of the conditional independece test |
supp: |
threshold of the pruning scheme |
cor.pvalue: |
threshold of the pruning scheme |
Value
all single and combined causes
Author(s)
Saisai Ma
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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