This function implements the prediction step in the Bayesian non-parametric model for test equating
BNP.eq.predict(model, from = NULL, into = NULL, alpha = 0.05)
A 'BNP.eq.predict' object, which is a list containing the following items:
pdf A list of PDF's.
cdf A list of CDF's.
equ Numeric. Equated values.
grid Numeric. Grid used to evaluate pdf's and cdf's.
A 'BNP.eq' object.
Numeric. A vector of indices indicating from which patterns equating should be performed. The covariates involved are integrated out.
Numeric. A vector of indices indicating into which patterns equating should be performed. The covariates involved are integrated out.
Numeric. Level of significance for credible bands.
Daniel Leon dnacuna@uc.cl, Felipe Barrientos afb26@stat.duke.edu.
Predictions of the score probability distributions are obtained under the Bayesian nonparametric model and are used to compute the equating function.
Gonzalez, J., Barrientos, A., and Quintana, F. (2015). Bayesian Nonparametric Estimation of Test Equating Functions with Covariates. Computational Statistics and Data Analysis, 89, 222-244.