umxRun: umxRun: Run an mxModel

In umx: Structural Equation Modeling and Twin Modeling in R

umxRun: Run an mxModel

Description

umxRun is a version of mxRun() which can run also set start values, labels, and run multiple times It can also calculate the saturated and independence likelihoods necessary for most fit indices. Note this is not needed for umxRAM models or twin models - it is just a convenience to get base OpenMx models to run.

Usage

umxRun(
  model,
  tryHard = c("yes", "no", "ordinal", "search"),
  calc_sat = TRUE,
  setValues = FALSE,
  setLabels = FALSE,
  summary = !umx_set_silent(silent = TRUE),
  intervals = FALSE,
  optimizer = NULL,
  comparison = NULL
)

Arguments

model	The mxModel() you wish to run.
tryHard	How to tryHard. Default = "yes". Alternatives "no", "ordinal", "search"
calc_sat	Whether to calculate the saturated and independence models (for raw mxData() mxModel()s)
setValues	Whether to set the starting values of free parameters (default = FALSE)
setLabels	Whether to set the labels (default = FALSE)
summary	Whether to print summary or not (default = !umx_set_silent() )
intervals	Whether to run mxCI confidence intervals (default = FALSE) intervals = FALSE
optimizer	optional to set the optimizer.
comparison	Comparison model (will be used to drive umxCompare() after umxRun

Value

• mxModel()

References

• https://github.com/tbates/umx

See Also

Other Advanced Model Building Functions: umxAlgebra(), umxFixAll(), umxJiggle(), umxThresholdMatrix(), umxUnexplainedCausalNexus(), umx, xmuLabel(), xmuValues()

Examples

## Not run: 
require(umx)
data(demoOneFactor)
latents  = c("G")
manifests = names(demoOneFactor)
m1 = mxModel("fact", type="RAM", manifestVars=manifests, latentVars=latents,
	mxPath(latents  , to = manifests),
	mxPath(manifests, arrows = 2),
	mxPath(latents  , arrows = 2, free = FALSE, values = 1),
	mxData(cov(demoOneFactor), type = "cov", numObs=500)
)

m1 = umxRun(m1) # just run: will create saturated model if needed
m1 = umxRun(m1, setValues = TRUE, setLabels = TRUE) # set start values and label all parameters
umxSummary(m1, std = TRUE)
m1 = mxModel(m1, mxCI("G_to_x1")) # add one CI
m1 = mxRun(m1, intervals = TRUE)
residuals(m1, run = TRUE) # get CIs on all free parameters
confint(m1) # OpenMx's SE-based CIs
umxConfint(m1, run = TRUE) # get likelihood-based CIs on all free parameters
m1 = umxRun(m1, tryHard = "yes")

## End(Not run)

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