Methods for raschmix Objects
# S4 method for raschmix summary(object, eps = 1e-4, ...)
# S4 method for raschmix parameters(object, which = c("model", "item", "score", "concomitant"), difficulty = TRUE, component = NULL, simplify = TRUE)
# S4 method for raschmix worth(object, difficulty = TRUE, component = NULL)
# S4 method for raschmix itempar(object, ref = NULL, alias = TRUE, ...)
scoreProbs(object, component = NULL, simplify = TRUE)
An object of class
Probabilities below this threshold are treated as zero in the summary method.
Indicates which type of parameters are used.
modelrefers to both item and score parameters,
scoreto their corresponding parameters separately. The parameters of the concomitant model are accessed through
Indicates whether item difficulty (default) or easiness parameters are used.
Indicates which components are returned. Default is all components.
a vector of labels or position indices of item parameters or a contrast matrix which should be used as restriction/for normalization. If 'NULL' (the default), all items are used (sum zero restriction).
logical. If 'TRUE' (the default), the aliased parameter is included in the return vector. If 'FALSE', it is removed. If the restriction given in 'ref' depends on several parameters, the first parameter of the restriction specified is (arbitrarily) chosen to be removed if 'alias' is 'FALSE'.
Should the result be simplified if possible?
Currently not used.
worth transforms the item parameters so that the sum over all
item parameters (within each component) is zero.
itempar allows for the flexible specification of the
restriction applied to the item parameters.
scoreProbs does not include any aliased parameters if a certain
raw score is not present in the data.