Changes in version 2021-05-07                      

  - 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.

                     Changes in version 2021-01-21                      

  - 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.

                     Changes in version 2020-12-22                      

  - 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.

                     Changes in version 2020-11-25                      

  - 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.

                     Changes in version 2020-10-22                      

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

                     Changes in version 2019-01-08                      

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

                     Changes in version 2019-01-07                      

  - 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

                     Changes in version 2018-11-09                      

  - 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.

                     Changes in version 2018-11-08                      

  - 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.

                     Changes in version 2018-10-06                      

  - Initial release

                        Changes in version 0.7.0                        

  - Changed Depends field from R (>= 3.4.0) to R (>= 3.5.0) because of
    dependency on mvtnorm package.
  - Fixed bug in how composite score indicators are assigned for
    higher-order factors. Previous code did not distinguish between
    indicator paths and regression paths.