| irt.prob-class {plink} | R Documentation |
The formal S4 class for irt.prob. This class contains the expected probabilities of responding in a given category for a set of items and theta values under the specified IRT models. The class also includes characteristics of the items.
Objects can be created by calls of the form new("irt.prob", ...), but this is
not encouraged. Use one of the functions drm, gpcm, grm, mcm,
nrm, or mixed instead.
prob:p.cat:mod.lab:dimensions:D:drm, grm,
and gpcmpars:model:prob. The only acceptable models are drm, gpcm,
grm, mcm, and nrm (see class poly.mod for more
information).items:model, where each element
identifies the items associated with the model(s) specified in model.
Class poly.mod, directly.
Class list.poly, by class poly.mod, distance 2.
Jonathan P. Weeks weeksjp@gmail.com
These models provide information on both unidimensional and multidimensional formulations
drm: for dichotomous response models (1PL, 2PL, and 3PL)
gpcm: for the partial credit/generalized partial credit model
grm: for the graded response model
mcm: for the multiple-choice model
nrm: for the nominal response model
mixed: for mixed-format items
irt.pars