summary.ltm {ltm}R Documentation

Summary method for ltm objects

Description

Summarizes the fit of an ltm object.

Usage

## S3 method for class 'ltm':
summary(object, robust.se = FALSE, ...)

Arguments

object an object inheriting from class ltm.
robust.se logical; if TRUE robust estimation of standard errors is used, based on the sandwich estimator.
... additional argument; currently none is used.

Value

An object of class summ.ltm with components,

coefficients the estimated coefficients' table.
Var.betas the approximate covariance matrix for the estimated parameters.
logLik the log-likelihood of object.
AIC the AIC for object.
BIC the BIC for object.
max.sc the maximum absolute value of the score vector at convergence.
conv the convergence identifier returned by optim.
counts the counts argument returned by optim.
call the matched call of object.
ltn.struct a character vector describing the latent structure used in object.
control the values used in the control argument in the fit of object.
nitems the number of items in the data set.

Author(s)

Dimitris Rizopoulos dimitris.rizopoulos@med.kuleuven.be

See Also

ltm

Examples


## One factor model using the WIRS data
m <- ltm(Wirs~z1)
summary(m)
summary(m, TRUE)
[Package ltm version 0.2-1 Index]