a_posteriori

a vector of a priori density function values of the evaluated
ability levels

apriori

a vector of probability response for every evaluated ability
level given the item response

prob

Computes the a posteriori density function values of the evaluated ability
levels given the item response

Implements the Merged Tree-CAT method (Javier Rodriguez-Cuadrado et al., 2020, <doi:10.1016/j.eswa.2019.113066>) to generate Computerized Adaptive Tests (CATs) based on a decision tree. The tree growth is controlled by merging branches with similar trait distributions and estimations. This package has the necessary tools for creating CATs and estimate the subject's ability level.

Javier Rodriguez-Cuadrado

a_posteriori: Vector of a posteriori density values of ability level

Description

Usage

Arguments

Value