Usage
## S3 method for class 'SingleGroupClass':
coef(object, CI = 0.95, printSE = FALSE,
rotate = "none", Target = NULL, digits = 3, IRTpars = FALSE,
rawug = FALSE, as.data.frame = FALSE, simplify = FALSE,
unique = FALSE, verbose = TRUE, ...)
Arguments
object
an object of class SingleGroupClass
,
MultipleGroupClass
, or MixedClass
CI
the amount of converged used to compute confidence intervals; default is
95 percent confidence intervals
printSE
logical; print the standard errors instead of the confidence intervals?
rotate
see summary
method for details. The default rotation is 'none'
Target
a dummy variable matrix indicting a target rotation pattern
digits
number of significant digits to be rounded
IRTpars
logical; convert slope intercept parameters into traditional IRT parameters?
Only applicable to unidimensional models
rawug
logical; return the untransformed internal g and u parameters?
If FALSE
, g and u's are converted with the original format along with delta standard errors
as.data.frame
logical; convert list output to a data.frame instead?
simplify
logical; if all items have the same parameter names (indicating they are
of the same class) then they are collapsed to a matrix, and a list of length 2 is returned
containing a matrix of item parameters and group-level estimates
unique
return the vector of uniquely estimated parameters
verbose
logical; allow information to be printed to the console?
...
additional arguments to be passed