| EAPConfig-class {RSCAT} | R Documentation |
EAP configuration
Description
An S4 class to represent expected A posteriori (EAP) scoring algorithm configuration.
Details
An instance of this S4 class can be applied to the generic function
scoreMethodConfig to create an Java object for scoring method
configuration.
Slots
numQuada positive integer specifying the number of quadrature points
minQuada numeric value specifying the minimum quadrature point
maxQuada numeric value specifying the maximum quadrature point
priorDistTypea character string specifying the prior distribution of ability. "Normal" for Normal distribution and "Uniform" for uniform distribution.
distParamsa numeric vector specifying parameters of the prior distribution. (mean, sd) for the Normal distribution, (a, b) for the uniform distribution.
[Package RSCAT version 1.1.3 Index]