umxMI | R Documentation |
This function uses the mechanical modification-indices approach to detect single paths which, if added or dropped, would improve fit.
umxMI(
model = NA,
matrices = NA,
full = TRUE,
numInd = NA,
typeToShow = "both",
decreasing = TRUE
)
model |
An |
matrices |
which matrices to test. The default (NA) will test A & S for RAM models |
full |
Change in fit allowing all parameters to move. If FALSE only the parameter under test can move. |
numInd |
How many modifications to report. Use -1 for all. Default (NA) will report all over 6.63 (p = .01) |
typeToShow |
Whether to shown additions or deletions (default = "both") |
decreasing |
How to sort (default = TRUE, decreasing) |
Notes:
Runs much faster with full = FALSE (but this does not allow the model to re-fit around the newly- freed parameter).
Compared to mxMI, this function returns top changes, and also suppresses the run message.
Finally, of course: see the requirements for (legitimate) post-hoc modeling in mxMI()
You are almost certainly doing better science when testing competing models rather than modifying a model to fit.
mxMI()
Other Model Summary and Comparison:
umxCompare()
,
umxEquate()
,
umxReduce()
,
umxSetParameters()
,
umxSummary()
,
umx
## Not run:
require(umx)
data(demoOneFactor)
manifests = names(demoOneFactor)
m1 = umxRAM("One Factor", data = demoOneFactor, type = "cov",
umxPath("G", to = manifests),
umxPath(var = manifests),
umxPath(var = "G", fixedAt = 1)
)
umxMI(m1, full = FALSE)
## End(Not run)
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