Predict Reliability at New Scaling Factor Values (EQC)

If newdata is NULL, returns the achieved reliability from calibration. If newdata is a numeric vector of scaling factor values, computes the reliability at each value using the stored quadrature sample and item parameters.

Usage

# S3 method for class 'eqc_result'
predict(object, newdata = NULL, ...)

Arguments

object

An object of class "eqc_result".

newdata

Optional numeric vector of scaling factor values. If NULL, returns object$achieved_rho.

...

Additional arguments (ignored).

Value

If newdata is NULL, a single numeric value (achieved reliability). If newdata is a numeric vector, a named numeric vector of reliability values at each scaling factor.

Examples

# \donttest{
eqc_res <- eqc_calibrate(target_rho = 0.80, n_items = 25,
                          model = "rasch", seed = 42, M = 5000)
predict(eqc_res)
#> [1] 0.8
predict(eqc_res, newdata = c(0.5, 1.0, 1.5, 2.0))
#>     c=0.5     c=1.0     c=1.5     c=2.0 
#> 0.5896711 0.8259511 0.8972175 0.9280310 
# }