assess_transformation   Assess normality of transformed data
create_transformer_skeleton
                        Create transformation object skeleton
ecn_test                Empirical central normality test
find_transformation_parameters
                        Set transformation parameters
get_lambda              Get lambda value
get_residuals           Compute residuals of transformation to
                        normality
get_scale               Get scale value
get_shift               Get shift value
get_transformation_method
                        Get transformation method
huber_estimate          Huber M-estimate
plot_qq_plot            Create Q-Q plot
plot_residual_plot      Create residual plot
power.transform         power.transform: Transform Data to Normality
                        using Power Transformations
power_transform         Transform values
ragn                    Random Values from the Asymmetric Generalised
                        Normal Distribution
revert_power_transform
                        Revert transformation
set_lambda              Set lambda value
set_scale               Set scale value
set_shift               Set shift value
transformationBoxCox-class
                        Box-Cox transformation object
transformationNone-class
                        No transformation object
transformationPowerTransform-class
                        Generic transformation object
transformationYeoJohnson-class
                        Yeo-Johnson transformation object
