pairwiseFit: Computes MGCFA model for a given pair of groups

In MaksimRudnev/MIE.package: Measurement Invariance Explorer (MIE)

Computes MGCFA model for a given pair of groups

Description

Computes MGCFA model for a given pair of groups

Usage

pairwiseFit(
  model,
  data,
  group = "cntry",
  constraints = c(""),
  pairs.of.groups = NULL,
  message = "Fitting pairwise lavaan models",
  shiny = FALSE,
  signed = F,
  ...
)

Arguments

model	Model in lavaan syntax
data	Data object
group	Character. Group variable name.
constraints	Can be "", "loadings", or c("loadings", "intercepts").
pairs.of.groups	Full list of pairs of groups, used in shiny only.
message	Notification in shiny.
shiny	If it is executed in shiny environment.
signed	Only for DMACS, if the signed version should be used. See Nye et al 2019
...	Arguments passed to lavaan 'cfa' function.

Details

Mostly for internal use within incrementalFit

Value

The function returns matrix of fit indices for multiple group CFA models fitted to each possible pair of groups.

MaksimRudnev/MIE.package documentation built on March 5, 2024, 1:24 p.m.