SEMCpp {lessSEM}

SEMCpp class

Description

internal SEM representation

Fields

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