SEMCpp | R Documentation |
internal SEM representation
new
Creates a new SEMCpp.
fill
fills the SEM with the elements from an 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.
getEstimator
returns the estimator used in the model (e.g., fiml)
getParameterLabels
Returns a vector with unique parameter labels as used internally.
getGradients
Returns a matrix with scores.
getScores
Returns a matrix with scores.
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
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