MxBaseExpectation-class

$,MxBaseExpectation-method

$&lt;-,MxBaseExpectation-method

The virtual base class for all expectations. Expectations contain
enough information to generate simulated data.  This is an internal
class and should not be used directly.

Facilitates treatment of statistical model specifications
as things that can be generated and manipulated programmatically.
Structural equation models may be specified with reticular action model matrices or paths,
linear structural relations matrices or paths, or
directly in matrix algebra.
Fit functions include full information maximum likelihood,
maximum likelihood, and weighted least squares.
Example models include confirmatory factor, multiple group, mixture
distribution, categorical threshold, modern test theory, differential
equations, state space, and many others.

c(Joshua N.) Pritikin

MxBaseExpectation-class: MxBaseExpectation

Description

Arguments

See Also