umxReduceACE: Reduce an ACE model.

In umx: Structural Equation Modeling and Twin Modeling in R

Reduce an ACE model.

Description

This function can perform model reduction on umxACE() models, testing dropping A and C, as well as an ADE or ACE model, displaying the results in a table, and returning the best model.

Usage

umxReduceACE(
  model,
  report = c("markdown", "inline", "html", "report"),
  intervals = TRUE,
  baseFileName = "tmp",
  tryHard = c("yes", "no", "ordinal", "search"),
  silent = FALSE,
  digits = 2,
  ...
)

Arguments

model	an ACE or ADE mxModel() to reduce
report	How to report the results. "html" = open in browser
intervals	Recompute CIs (if any included) on the best model (default = TRUE)
baseFileName	(optional) custom filename for html output (defaults to "tmp")
tryHard	(default = "yes")
silent	Don't print the ACE models (default = FALSE)
digits	rounding in printout (default = 2)
...	Other parameters to control model summary

Details

It is designed for testing univariate models. You can offer up either the ACE or ADE base model.

Suggestions for more sophisticated automation welcomed!

Value

Best fitting model

References

• 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")}

See Also

umxReduceGxE(), umxReduce()

Other Twin Modeling Functions: power.ACE.test(), umxACEcov(), umxACEv(), umxACE(), umxCP(), umxDiffMZ(), umxDiscTwin(), umxDoCp(), umxDoC(), umxGxE_window(), umxGxEbiv(), umxGxE(), umxIP(), umxMRDoC(), umxReduceGxE(), umxReduce(), umxRotate.MxModelCP(), umxSexLim(), umxSimplex(), umxSummarizeTwinData(), umxSummaryACEv(), umxSummaryACE(), umxSummaryDoC(), umxSummaryGxEbiv(), umxSummarySexLim(), umxSummarySimplex(), umxTwinMaker(), umx

Examples

## Not run: 
data(twinData)
mzData = subset(twinData, zygosity == "MZFF")
dzData = subset(twinData, zygosity == "DZFF")
m1 = umxACE(selDVs = "bmi", dzData = dzData, mzData = mzData, sep = "")

# ===========================================================================
# = Table of parameters + fit comparisons, ready too copy to word processor =
# ===========================================================================
umxReduce(m1, silent=TRUE, digits=2, repo="h")

# ==========================================
# = Function captures the preferred model =
# ==========================================
m2 = umxReduce(m1)
umxSummary(m2)

# works for ADE input also
m1 = umxACE(selDVs = "bmi", dzData = dzData, mzData = mzData, sep = "", dzCr = .25)


## End(Not run)

umx documentation built on May 29, 2024, 5:40 a.m.