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
numQuad
a positive integer specifying the number of quadrature points
minQuad
a numeric value specifying the minimum quadrature point
maxQuad
a numeric value specifying the maximum quadrature point
priorDistType
a character string specifying the prior distribution of ability. "Normal" for Normal distribution and "Uniform" for uniform distribution.
distParams
a 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]