iteminfo

an extracted internal mirt object containing
  item information

Theta

a vector of angles in degrees that are
  between 0 and 90 that jointly sum to 90. Only applicable
  when the input object is multidimensional

degrees

Given an internal mirt object extracted from an estimated
  model compute the item information.

information

Analysis of dichotomous and polytomous response data using
        latent trait models under the Item Response Theory paradigm.
        Includes univariate and multivariate one-, two-, three-, and
        four-parameter logistic models, graded response models, rating
        scale graded response models, generalized partial credit
        models, nominal models, multiple choice models, and
        multivariate partially-compensatory models. These can be used
        in an exploratory or confirmatory manner with optional user
        defined linear constraints. Exploratory models can be estimated
        via quadrature or stochastic methods, a generalized
        confirmatory bi-factor analysis is included, and confirmatory
        models can be fit with a Metropolis-Hastings Robbins-Monro
        algorithm which can include polynomial or product constructed
        latent traits. Additionally, multiple group analysis may be
        performed for unidimensional or multidimensional item response
        models for detecting differential item functioning.

iteminfo: Function to calculate item information

Description

Usage

Arguments

Examples