computeHypotheticalSEs: Compute hypothetical standard errors from an mxModel

In trbrick/MICr: Matrices of Implied Causation in R

Description

Creates standard errors for the model assuming that the model is exactly correct and complete data is available.

Usage

computeHypotheticalSEs(model, N = NA, quiet = TRUE, ...)

Arguments

model	The model
N	The number of participants modeled. If NA (the default) and the model has data, the size of the data is used.
quiet	If TRUE, do not throw warnings (default: FALSE)
...	Additional parameters for mxSE

Details

Computes the model-implied covariance, mean (if available) and thresholds (if available) for the model, fits the model using those as the data set, and computes standard errors for the MIC accordingly.

Value

computed SEs, or NULL if computation was not possible.

trbrick/MICr documentation built on March 7, 2020, 3:30 p.m.