ltm (version 1.2-0)

vcov: vcov method for fitted IRT models

Description

Extracts the asymptotic variance-covariance matrix of the MLEs from either gpcm, grm, ltm, rasch or tpm objects.

Usage

# S3 method for gpcm
vcov(object, robust = FALSE, …)
# S3 method for grm
vcov(object, …)
# S3 method for ltm
vcov(object, robust = FALSE, …)
# S3 method for rasch
vcov(object, robust = FALSE, …)
# S3 method for tpm
vcov(object, …)

Arguments

object

an object inheriting from either class gpcm, class grm, class ltm, class rasch or class tpm.

robust

logical; if TRUE the sandwich estimator is used.

…

additional arguments; currently none is used.

Value

a numeric matrix representing the estimated covariance matrix of the maximum likelihood estimates. Note that this covariance matrix is for the parameter estimates under the additive parameterization and not under the usual IRT parameterization; for more info check the Details section of grm, ltm, rasch, and tpm.

See Also

gpcm, grm, ltm, rasch, tpm

Examples

# NOT RUN {
fit <- rasch(WIRS)
vcov(fit)
sqrt(diag(vcov(fit))) # standard errors under additive parameterization
# }