mgSEM class — mgSEM • lessSEM

internal mgSEM representation

Fields

new: Creates a new mgSEM.
addModel: add a model. Expects Rcpp::List
addTransformation: adds transforamtions to a model
implied: Computes implied means and covariance matrix
fit: Fits the model. Returns objective value of the fitting function
getParameters: Returns a data frame with model parameters.
getParameterLabels: Returns a vector with unique parameter labels as used internally.
getEstimator: Returns a vector with names of the estimators used in the submodels.
getGradients: Returns a matrix with scores.
getScores: Returns a matrix with scores. Not yet implemented
getHessian: Returns 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.
computeTransformations: compute the transformations.
setTransformationGradientStepSize: change the step size of the gradient computation for the transformations