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
: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
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