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Retained for backwards compatibility. New code should call run_fastsem() with engine = "ram" (the default for multi-group models) or engine = "auto".

Usage

run_fastsem_ram(model, control = list())

Arguments

model

An MxModel as returned by umxRAM() (or a bare mxModel container holding submodels for multi-group use). The model must have raw (row-level) data in model@data@observed.

control

Optional named list passed to the optimizer. Recognized fields: maxIter (int), tol (gradient-norm tolerance), ftol (objective-change tolerance), tryHard (extra retry rounds on non-convergence; each round multiplies maxIter by 3 and divides tol by 10). Any field absent or 0/0.0 uses the core default.

Value

The fitted MxModel.