Test edges in graphical models with p-value/AIC value
Test edges in graphical models with p-value/AIC
value. The models must be iModel
s.
testEdges( object, edgeMAT = NULL, ingraph = TRUE, criterion = "aic", k = 2, alpha = NULL, headlong = FALSE, details = 1, ... ) testInEdges( object, edgeMAT = NULL, criterion = "aic", k = 2, alpha = NULL, headlong = FALSE, details = 1, ... ) testOutEdges( object, edgeMAT = NULL, criterion = "aic", k = 2, alpha = NULL, headlong = FALSE, details = 1, ... )
object |
An |
edgeMAT |
A |
ingraph |
If TRUE, edges in graph are tested; if FALSE, edges not in graph are tested. |
criterion |
Either |
k |
Penalty term when |
alpha |
Critical value for deeming an edge to be significant/
insignificant. When |
headlong |
If TRUE then testing will stop once a model improvement has been found. |
details |
Controls the level of printing on the screen. |
... |
Further arguments to be passed on to |
testIn: Function which tests whether each edge in "edgeList" can be delete from model "object"
testOut: Is similar but in the other direction.
A dataframe with test statistics (p-value or change in AIC), edges and logical telling if the edge can be deleted.
Søren Højsgaard, sorenh@math.aau.dk
data(math) cm1 <- cmod(~me:ve + ve:al + al:an, data=math) testEdges(cm1, ingraph=TRUE) testEdges(cm1, ingraph=FALSE) ## Same as # testInEdges(cm1) # testOutEdges(cm)
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