umxSummaryMRDoC: Present the results of a Mendelian Randomization Direction of...

In umx: Structural Equation Modeling and Twin Modeling in R

Present the results of a Mendelian Randomization Direction of Causation Model in a table

Description

Summarizes a MR Direction of Causation model, as returned by umxMRDoC()

Usage

umxSummaryMRDoC(
  model,
  digits = 2,
  std = TRUE,
  CIs = FALSE,
  comparison = NULL,
  RMSEA_CI = FALSE,
  report = c("markdown", "html"),
  file = getOption("umx_auto_plot"),
  ...
)

Arguments

model	A fitted umxDoC() model to summarize
digits	Round to how many digits (default = 2)
std	Whether to show the standardized model (TRUE) (ignored: used extended = TRUE to get unstandardized)
CIs	Confidence intervals (default FALSE)
comparison	Run mxCompare on a comparison model (default NULL)
RMSEA_CI	Optionally compute CI on RMSEA.
report	Print tables to the console (as 'markdown'), or open in browser ('html')
file	The name of the dot file to write: NA = none; "name" = use the name of the model
...	Optional additional parameters

Value

• nothing

See Also

• umxDoC(), plot(), umxSummary() work for DoC models.

Other Summary functions: umxSummary.MxModel(), umxSummaryACEcov(), umxSummaryCP(), umxSummaryGxE(), umxSummaryIP()

umx documentation built on Nov. 17, 2023, 1:07 a.m.