| SEMCpp | R Documentation |
internal SEM representation
newCreates a new SEMCpp.
fillfills the SEM with the elements from an Rcpp::List
addTransformationadds transforamtions to a model
impliedComputes implied means and covariance matrix
fitFits the model. Returns objective value of the fitting function
getParametersReturns a data frame with model parameters.
getEstimatorreturns the estimator used in the model (e.g., fiml)
getParameterLabelsReturns a vector with unique parameter labels as used internally.
getGradientsReturns a matrix with scores.
getScoresReturns a matrix with scores.
getHessianReturns the hessian of the model. Expects the labels of the parameters and the values of the parameters as well as a boolean indicating if these are raw. Finally, a double (eps) controls the precision of the approximation.
computeTransformationscompute the transformations.
setTransformationGradientStepSizechange the step size of the gradient computation for the transformations
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