DrawClasses: Draw latent variable values

In dcmr: Attribute profile estimation using Diagnostic Classification Models and MCMC

Description

Produces values of alphas(s) (i.e., latent variable(s)) by using a rejection/acceptance Metropolis-Hastings procedure.

Usage

DrawClasses(nattributes, class0, nus0, observations, nobservations,
  threshold.values, pmatrix)

Arguments

nattributes	a numeric value indicating number of alphas to be drawn
class0	a numeric vector of previous classes
nus0	a numeric vector of length nclasses for nu parameter estimates
observations	a data frame or matrix of dichotomous responses
nobservations	a numeric value indicating number of rows of the observation data frame or matrix
threshold.values	an nclasses by nitems numeric matrix with appropriate item threshold values
pmatrix	a numeric nclasses by nattributes matrix of all possible attribute profiles

Value

a numeric vector of classes indicating one of the possible attribute profile for each student

dcmr documentation built on May 29, 2017, 10:41 p.m.