expected_value: Expected value of an indicator
In dmacs: Measurement Nonequivalence Effect Size Calculator

expected_value returns the expected value of an indicator given item parameters and factor value.

1	expected_value(Lambda, Thresh, Theta, categorical = FALSE)

`Lambda`	is the loading of the indicator on the factor.
`Thresh`	is the intercept (continuous indicator) or vector of thresholds (categorical indicator) for the indicator.
`Theta`	is the value of the factor for which the expected value is to be computed
`categorical`	is a Boolean variable declaring whether the variables in the model are ordered categorical. Models in which some variables are categorical and others are continuous are not supported. If no value is provided, categorical defaults to `FALSE`, although if multiple thresholds are provided for an item, categorical will be forced to `TRUE`. A graded response model with probit link (e.g., DWLS in lavaan or WLSMV in Mplus) is used for categorical variables. If you desire for other categorical models (e.g., IRT parameterization) to be supported, e-mail the maintainer.