rpf.nrm

numOutcomes

dimensions

This function instantiates a nominal response model.
  Bayesian priors are only used to generate plausible
  random parameters.

The purpose of this package is to factor out logic and
        math common to Item Response Theory fitting, diagnostics, and
        analysis. It is envisioned as core support code suitable for
        more specialized IRT packages to build upon. Complete access to
        optimized C functions are made available with
        R_RegisterCCallable.

rpf.nrm: Create a nominal response model and associated hyperparameters.

Description

Usage

Arguments

Value