stuart (version 0.10.2)

extractobjective: Extracting empirical objective functions for item selection

Description

This is a bare-bones initial version of this approach.

Usage

extractobjective(
  x,
  n = 50,
  side = c("top", "bottom", "center"),
  skew = FALSE,
  scale = 1,
  ...
)

Value

Returns an object of class stuartEmpiricalObjective.

Arguments

x

A vector of values for which to determine the objective function (e.g. RMSEA).

n

Number of values to use in function determining. Defaults to 50.

side

Which side good values are located at. 'top' means large values are good (e.g. Reliability), 'bottom' means small values are good (e.g. RMSEA), and 'middle' means average values are good (e.g. factor correlations).

skew

Whether to account for skew in the distribution using the [sn::psn()] function. Defaults to FALSE, meaning a normal distribution is used.

scale

A numeric scale to use in weighting the objective component. Defaults to 1.

...

Additional arguments.

Author

Martin Schultze

See Also

empiricalobjective, fixedobjective, objectivematrices