Location and Scale Invariant Power Transformations

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Documentation for package ‘power.transform’ version 1.0.1

• 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
cn.test	Central normality test
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