umxReduce | R Documentation |
Given a umx
model (currently umxACE
and umxGxE
are supported - ask for more!)
umxReduce
will conduct a formalised reduction process. It will also report
Akaike weights are also reported showing relative support across models.
Specialized functions are called for different type of input:
GxE model reduction For umxGxE()
models umxReduceGxE()
is called.
ACE model reduction For umxACE()
models,umxReduceACE()
is called.
umxReduce
reports the results in a table. Set the format of the table with
umx_set_table_format()
, or set report= "html"
to open a
table for pasting into a word processor.
umxReduce
can be extended to new cases as demand emerges.
umxReduce(
model,
report = c("markdown", "inline", "html"),
intervals = TRUE,
testD = TRUE,
baseFileName = "tmp",
tryHard = "yes",
silent = FALSE,
...
)
model |
The |
report |
How to report the results. "html" = open in browser |
intervals |
Recompute CIs (if any included) on the best model (default = TRUE) |
testD |
Whether to test ADE and DE models (TRUE) |
baseFileName |
(optional) custom filename for html output (defaults to "tmp") |
tryHard |
Default = "yes" |
silent |
Default = FALSE |
... |
Other parameters to control model summary |
Wagenmakers, E.J., & Farrell, S. (2004). AIC model selection using Akaike weights. Psychonomic Bulletin and Review, 11, 192-196. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.3758/BF03206482")}
umxReduceGxE()
, umxReduceACE()
Other Model Summary and Comparison:
umx
,
umxCompare()
,
umxEquate()
,
umxMI()
,
umxSetParameters()
,
umxSummary()
Other Twin Modeling Functions:
power.ACE.test()
,
umx
,
umxACE()
,
umxACEcov()
,
umxACEv()
,
umxCP()
,
umxDiffMZ()
,
umxDiscTwin()
,
umxDoC()
,
umxDoCp()
,
umxGxE()
,
umxGxE_window()
,
umxGxEbiv()
,
umxIP()
,
umxMRDoC()
,
umxReduceACE()
,
umxReduceGxE()
,
umxRotate.MxModelCP()
,
umxSexLim()
,
umxSimplex()
,
umxSummarizeTwinData()
,
umxSummaryACE()
,
umxSummaryACEv()
,
umxSummaryDoC()
,
umxSummaryGxEbiv()
,
umxSummarySexLim()
,
umxSummarySimplex()
,
umxTwinMaker()
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