mirt (version 1.1)

marginal_rxx: Function to calculate the marginal reliability

Description

Given an estimated model and a prior density function, compute the marginal reliability. This is only available for unidimensional tests.

Usage

marginal_rxx(mod, density = dnorm, theta_lim = c(-6, 6), ...)

Arguments

mod

an object of class 'SingleGroupClass'

density

a density function to use for integration. Default assumes the latent traits are from a normal (Gaussian) distribution

theta_lim

a vector containing the range of integration

...

additional arguments passed to the density function

See Also

extract.group, testinfo

Examples

dat <- expand.table(deAyala)
mod <- mirt(dat, 1)

# marginal estimate
marginal_rxx(mod)

# empirical estimate (assuming the same prior)
fscores(mod, returnER = TRUE)