PC_smallset: PC algorithm at level k
In WY-Chen/DAGDNA: Definite Non-Ancestral Relations and Structure Learning
Description
Usage
Arguments
Value
Description
this is standard. modified from pcalg package
Usage
1
PC_smallset(p, ghat, k, h, SepSets = NULL, CIFUN, POM = NULL, IO = NULL)
Arguments
p:
number of variables
ghat:
working graph estimate (undirected skeleton)
k:
level
h:
dictionary for checked CI statements
SepSets:
working Separators
CIFUN:
CI funtion CIFUN(x,y,S) returns 0 (dependence) or 1 (independence)
POM:
partial ordering matrix
IO:
incomplete ordering
Value
loglikelihood
WY-Chen/DAGDNA documentation built on Dec. 18, 2021, 7:14 p.m.
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Description Usage Arguments Value
Description
this is standard. modified from pcalg package
Usage
1 | PC_smallset(p, ghat, k, h, SepSets = NULL, CIFUN, POM = NULL, IO = NULL)
|
Arguments
p: |
number of variables |
ghat: |
working graph estimate (undirected skeleton) |
k: |
level |
h: |
dictionary for checked CI statements |
SepSets: |
working Separators |
CIFUN: |
CI funtion CIFUN(x,y,S) returns 0 (dependence) or 1 (independence) |
POM: |
partial ordering matrix |
IO: |
incomplete ordering |
Value
loglikelihood
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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