| BNP.eq.predict {SNSequate} | R Documentation |
Prediction step for Bayesian non-parametric model for test equating
Description
This function implements the prediction step in the Bayesian non-parametric model for test equating
Usage
BNP.eq.predict(model, from = NULL, into = NULL, alpha = 0.05)
Arguments
model |
A 'BNP.eq' object. |
from |
Numeric. A vector of indices indicating from which patterns equating should be performed. The covariates involved are integrated out. |
into |
Numeric. A vector of indices indicating into which patterns equating should be performed. The covariates involved are integrated out. |
alpha |
Numeric. Level of significance for credible bands. |
Details
Predictions of the score probability distributions are obtained under the Bayesian nonparametric model and are used to compute the equating function.
Value
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.
Author(s)
Daniel Leon dnacuna@uc.cl, Felipe Barrientos afb26@stat.duke.edu.
References
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.