pairwise: Pairwise comparisons of random parameters.

In MIRES: Measurement Invariance Assessment Using Random Effects Models and Shrinkage

Description

Compute pairwise differences in group-specific measurement parameters.

Usage

pairwise(
  mires,
  param = c("lambda", "resid", "nu"),
  prob = 0.95,
  less_than = 0.1,
  groups = NULL,
  ...
)

Arguments

mires	mires object.
param	Character. One of lambda (loadings), resid (residual standard deviation on the log scale), or nu (intercepts).
prob	Numeric (0-1). Probability mass contained within the highest density interval.
less_than	Numeric (Default: .1; positive). Value at which to assess Pr(|difference| < less_than|D).
groups	Character vector (Optional). If specified, will only compute pairwise differences of the specified groups.
...	Not used.

Details

For a specified set of parameters, this computes all pairwise differences in the random effects across the posterior. Specifically, this computes the posterior differences of groups' parameters, for all parameters. This is useful for comparing groups' estimates under non-invariance.

Value

Data frame.

Author(s)

Stephen Martin

MIRES documentation built on Feb. 22, 2021, 5:10 p.m.