BNP.eq.predict

model

Numeric. A vector of indices indicating from which patterns equating should be performed.
The covariates involved are integrated out.

from

Numeric. A vector of indices indicating into which patterns equating should be performed.
The covariates involved are integrated out.

into

Numeric. Significance for credible bands.

alpha

Bayesian

Equating

non-parametrics

Contains functions to perform various models and
methods for test equating. It currently implements the traditional
mean, linear and equipercentile equating methods, as well as the
mean-mean, mean-sigma, Haebara and Stocking-Lord IRT linking methods.
It also supports newest methods such that local equating, kernel
equating (using Gaussian, logistic and uniform kernels) with presmoothing,
and IRT parameter linking methods based on asymmetric item characteristic
functions. Functions to obtain both standard error of equating (SEE)
and standard error of equating difference between two equating
functions (SEED) are also implemented for the kernel method of
equating.

Jorge Burgos

SNSequate

Standard and Nonstandard Statistical Models and Methods for Test
Equating

Jorge Gonzalez Burgos

Daniel Leon Acuna

BNP.eq.predict function

Prediction step for Bayesian non-parametric model for test equating — BNP.eq.predict

Prediction step for Bayesian non-parametric model for test equating

BNP.eq.predict: Prediction step for Bayesian non-parametric model for test equating

Description

Usage

Arguments

Value

Details

References