• Changed Depends field from R (>= 3.4.0) to R (>= 3.5.0) because of dependency on mvtnorm package.
• 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.
• 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.
• Initial release