simstandard 0.6.3

Added get_factor_score_validity_se function to return factor score standard errors.
Added get_model_names function to return a list of model variable names.

simstandard 0.6.2

Added get_factor_score_coefficients function to return factor score coefficients
Added get_factor_score_validity function to return factor score validity coefficients
Added v_factor_score_disturbance and v_factor_score_residual to v_names list returned by sim_standardized_matrices.
The v_factor_score list now only returns factor score names associated with the latent variables.

Can specify a mean and standard deviation in the add_composite_scores and add_factor_scores functions.
The add_factor_scores function now appends _FS to the factor score names.

Added get_model_implied_correlations function, which returns the model-implied correlation matrix of observed variables, latent variables, error terms, factor scores, and composite variables.

Added composite_score_validity to list returned by sim_standardized_matrices
Added add_composite_scores function to add composite scores to new data.

Fixed bug that prevents computation of composite scores of third-order and fourth-order latent variables.

Added the matrix2lavaan function to provide a convenient method of creating lavaan syntax from matrices.
Added the lav2ram function to extract standardized RAM matrices from a lavaan object.
The sim_standardized_matrices function has a new argument, composite_threshold. If this argument is specified, variables with loadings below the threshold are not used as indicators of the composite scores.
Removed the semPlot package from suggests list

Fixed the method of finding indicators for composite variables. A composite now is only created from direct indicators unless the latent variable is a higher-order factor with no direct indicators.

Added the fixed2free function, which takes a lavaan syntax model with fixed parameters and returns a lavaan syntax model in which all parameters are free.
Added the model_complete function, which takes a lavaan syntax model with standardized loadings, structure coefficients, and covariances, and returns a lavaan syntax model with all standardized coefficients, including standardized variances.
Added the add_factor_scores function, which adds predicted factor scores to a data.frame.