R: Location and Scale Invariant Power Transformations

# Location and Scale Invariant Power Transformations

## Documentation for package ‘power.transform’ version 1.0.4

- DESCRIPTION file
- Package NEWS

## Help Pages

power.transform-package | power.transform: Transform Data to Normality using Power Transformations
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_lambda-method | Get lambda value
get_residuals | Compute residuals of transformation to normality
get_scale | Get scale value
get_scale-method | Get scale value
get_shift | Get shift value
get_shift-method | Get shift value
get_transformation_method | Get transformation method
get_transformation_method-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_lambda-method | Set lambda value
set_scale | Set scale value
set_scale-method | Set scale value
set_shift | Set shift value
set_shift-method | Set shift value
transformationBoxCox-class | Box-Cox transformation object
transformationBoxCoxInvariant-class | Box-Cox transformation object
transformationNone-class | No transformation object
transformationPowerTransform-class | Generic transformation object
transformationYeoJohnson-class | Yeo-Johnson transformation object
transformationYeoJohnsonInvariant-class | Yeo-Johnson transformation object