diff --git a/.gitignore b/.gitignore
index 6595871..65f3544 100644
--- a/.gitignore
+++ b/.gitignore
@@ -51,10 +51,6 @@ rsconnect/
 .Rdata
 .DS_Store
 
-# Package documentation
-man/
-*.Rd
-
 # Manuscript
 manuscript/manuscript.pdf
 manuscript/manuscript.log
diff --git a/man/assess_transformation.Rd b/man/assess_transformation.Rd
new file mode 100644
index 0000000..582a9bf
--- /dev/null
+++ b/man/assess_transformation.Rd
@@ -0,0 +1,41 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/GoodnessOfFit.R
+\name{assess_transformation}
+\alias{assess_transformation}
+\title{Assess normality of transformed data}
+\usage{
+assess_transformation(x, transformer, verbose = TRUE, ...)
+}
+\arguments{
+\item{x}{A vector with numeric values that should be transformed to
+normality.}
+
+\item{transformer}{A transformer object created using
+\code{find_transformation_parameters}.}
+
+\item{verbose}{Sets verbosity of the fubction.}
+
+\item{...}{Unused arguments.}
+}
+\value{
+p-value for empirical goodness of fit test.
+}
+\description{
+Not all data allows for a reasonable transformation to normality using power
+transformation. For example, uniformly distributed data or multi-modal data
+cannot be transformed to normality. This function computes a p-value for an
+empirical goodness of fit test for central normality. A distribution is
+centrally normal if the central 80\% of the data are approximately normally
+distributed. The null-hypothesis is that the transformed distribution is
+centrally normal.
+}
+\examples{
+x <- exp(stats::rnorm(1000))
+transformer <- find_transformation_parameters(
+  x = x,
+  method = "box_cox")
+
+assess_transformation(
+  x = x,
+  transformer = transformer)
+}
diff --git a/man/create_transformer_skeleton.Rd b/man/create_transformer_skeleton.Rd
new file mode 100644
index 0000000..4f4029e
--- /dev/null
+++ b/man/create_transformer_skeleton.Rd
@@ -0,0 +1,29 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/TransformationSkeleton.R
+\name{create_transformer_skeleton}
+\alias{create_transformer_skeleton}
+\title{Create transformation object skeleton}
+\usage{
+create_transformer_skeleton(method, lambda = 1, shift = 0, scale = 1)
+}
+\arguments{
+\item{method}{Transformation method. Can be \code{"none"}, \code{"box_cox"} or
+\code{"yeo_johnson"}.}
+
+\item{lambda}{Value of the transformation parameter lambda. Can also be
+changed using the \code{set_lambda} method.}
+
+\item{shift}{Value of the shift parameter. Can also be changed using the
+\code{set_shift} method.}
+
+\item{scale}{Value of the scale parameter. Can also be changed using the
+\code{set_scale} method.}
+}
+\value{
+A transformer object
+}
+\description{
+Creates skeleton objects. This generates objects without fitting
+parameters. This is primarily intended for creating transformers
+externally, where fitting parameters are known.
+}
diff --git a/man/find_transformation_parameters.Rd b/man/find_transformation_parameters.Rd
new file mode 100644
index 0000000..22ef0ca
--- /dev/null
+++ b/man/find_transformation_parameters.Rd
@@ -0,0 +1,81 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/FindParameters.R
+\name{find_transformation_parameters}
+\alias{find_transformation_parameters}
+\title{Set transformation parameters}
+\usage{
+find_transformation_parameters(
+  x,
+  method = "yeo_johnson",
+  robust = TRUE,
+  invariant = TRUE,
+  lambda = c(-4, 6),
+  empirical_gof_normality_p_value = NULL,
+  ...
+)
+}
+\arguments{
+\item{x}{A vector with numeric values.}
+
+\item{method}{One of the following methods for power transformation:
+\itemize{
+\item \code{box_cox}: Transformation using the Box-Cox transformation (Box and Cox,
+1964). The Box-Cox transformation requires that all data are strictly
+positive. Features that contain zero or negative values cannot be
+transformed using this transformation. In their work, Box and Cox define a
+shifted variant. We use this variant to shift values to a strictly positive
+range, when negative values are present. The Box-Cox transformation relies
+on a single parameter lambda, which is estimated through maximisation of
+the log-likelihood function corresponding to a normal distribution.
+\item \code{yeo_johnson}:Transformation using the Yeo-Johnson
+transformation (Yeo and Johnson, 2000). Unlike the Box-Cox transformation,
+the Yeo-Johnson transformation allows for negative and positive values.
+Like the Box-Cox transformation, this transformation relies on a single
+parameter lambda, which is estimated through maximisation of the
+log-likelihood function corresponding to a normal distribution.
+\item \code{none}: A fall-back method that will not transform values.
+}}
+
+\item{robust}{Flag for using a robust version of Box-Cox or Yeo-Johnson
+transformation, as defined by Raymaekers and Rousseeuw (2021). This version
+is less sensitive in the presence outliers.}
+
+\item{invariant}{Flag for using a version of Box-Cox or Yeo-Johnson
+transformation that simultaneously optimises location and scale in addition
+to the lambda parameter.}
+
+\item{lambda}{Single lambda value, or range of lambda values that should be
+considered. Default: c(4.0, 6.0). Can be \code{NULL} to force optimisation
+without a constraint in lambda values.}
+
+\item{empirical_gof_normality_p_value}{Significance value for the empirical
+goodness-of-fit test for central normality. The p-value is computed through
+the \code{assess_transformation} function. By setting this parameter to a
+numeric value other than \code{NULL}, the transformation will be rejected when
+the p-value of the test is below the significance value.}
+
+\item{...}{Unused parameters.}
+}
+\value{
+A transformer object that can be used to transform values.
+}
+\description{
+\code{find_transformation_parameters} is used to find optimal parameters for
+univariate transformation to normality.
+}
+\examples{
+x <- exp(stats::rnorm(1000))
+transformer <- find_transformation_parameters(
+  x = x,
+  method = "box_cox")
+}
+\references{
+\enumerate{
+\item Yeo, I. & Johnson, R. A. A new family of power transformations
+to improve normality or symmetry. Biometrika 87, 954–959 (2000).
+\item Box, G. E. P. & Cox, D. R. An analysis of transformations. J. R. Stat.
+Soc. Series B Stat. Methodol. 26, 211–252 (1964).
+\item Raymaekers, J., Rousseeuw,  P. J. Transforming variables to central
+normality. Mach Learn. (2021).
+}
+}
diff --git a/man/get_residuals.Rd b/man/get_residuals.Rd
new file mode 100644
index 0000000..5ed0f03
--- /dev/null
+++ b/man/get_residuals.Rd
@@ -0,0 +1,34 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/GoodnessOfFit.R
+\name{get_residuals}
+\alias{get_residuals}
+\title{Compute residuals of transformation to normality}
+\usage{
+get_residuals(x, transformer, ...)
+}
+\arguments{
+\item{x}{A vector with numeric values that should be transformed to
+normality.}
+
+\item{transformer}{A transformer object created using
+\code{find_transformation_parameters}.}
+
+\item{...}{Unused arguments.}
+}
+\value{
+A \code{data.table} containing the expected (according to a normal
+distribution) and observed z-scores, and their difference as residuals.
+}
+\description{
+Compute residuals of transformation to normality
+}
+\examples{
+x <- exp(stats::rnorm(1000))
+transformer <- find_transformation_parameters(
+  x = x,
+  method = "box_cox")
+
+residual_data <- get_residuals(
+  x = x,
+  transformer = transformer)
+}
diff --git a/man/huber_estimate.Rd b/man/huber_estimate.Rd
new file mode 100644
index 0000000..8222564
--- /dev/null
+++ b/man/huber_estimate.Rd
@@ -0,0 +1,24 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/Utilities.R
+\name{huber_estimate}
+\alias{huber_estimate}
+\title{Huber M-estimate}
+\usage{
+huber_estimate(x, k = 1.28, tol = 1e-04)
+}
+\arguments{
+\item{x}{Vector of numeric values for which the location and scale should be
+estimated.}
+
+\item{k}{Numeric value > 0 that the determines the value beyond which the
+signal is winsorized.}
+
+\item{tol}{Tolerance for the iterative procedure.}
+}
+\value{
+list with location estimate \code{"mu"} and scale estimate \code{"sigma"}.
+}
+\description{
+Iteratively computes M-estimates for location and scale. These
+are robust estimates of the mean and standard deviation of the data.
+}
diff --git a/man/lambda-accessor-method.Rd b/man/lambda-accessor-method.Rd
new file mode 100644
index 0000000..0b1b3d5
--- /dev/null
+++ b/man/lambda-accessor-method.Rd
@@ -0,0 +1,28 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/AccessorsMutatorsLambda.R
+\name{get_lambda}
+\alias{get_lambda}
+\alias{get_lambda,transformationPowerTransform-method}
+\alias{get_lambda,transformationBoxCox-method}
+\alias{get_lambda,transformationYeoJohnson-method}
+\title{Get lambda value}
+\usage{
+get_lambda(object, ...)
+
+\S4method{get_lambda}{transformationPowerTransform}(object, ...)
+
+\S4method{get_lambda}{transformationBoxCox}(object, ...)
+
+\S4method{get_lambda}{transformationYeoJohnson}(object, ...)
+}
+\arguments{
+\item{object}{Transformer object}
+
+\item{...}{Unused arguments}
+}
+\value{
+Lambda value of the transformer.
+}
+\description{
+Get the lambda value of a transformer object.
+}
diff --git a/man/lambda-mutator-method.Rd b/man/lambda-mutator-method.Rd
new file mode 100644
index 0000000..62a5377
--- /dev/null
+++ b/man/lambda-mutator-method.Rd
@@ -0,0 +1,30 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/AccessorsMutatorsLambda.R
+\name{set_lambda}
+\alias{set_lambda}
+\alias{set_lambda,transformationPowerTransform-method}
+\alias{set_lambda,transformationBoxCox-method}
+\alias{set_lambda,transformationYeoJohnson-method}
+\title{Set lambda value}
+\usage{
+set_lambda(object, lambda, ...)
+
+\S4method{set_lambda}{transformationPowerTransform}(object, lambda, ...)
+
+\S4method{set_lambda}{transformationBoxCox}(object, lambda, ...)
+
+\S4method{set_lambda}{transformationYeoJohnson}(object, lambda, ...)
+}
+\arguments{
+\item{object}{Transformer object}
+
+\item{lambda}{Lambda value}
+
+\item{...}{Unused arguments}
+}
+\value{
+Transformer object with updated lambda value.
+}
+\description{
+Set the lambda value of a transformer object.
+}
diff --git a/man/plot_qq_plot.Rd b/man/plot_qq_plot.Rd
new file mode 100644
index 0000000..7839d72
--- /dev/null
+++ b/man/plot_qq_plot.Rd
@@ -0,0 +1,51 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/PlotQQPlot.R
+\name{plot_qq_plot}
+\alias{plot_qq_plot}
+\title{Create Q-Q plot}
+\usage{
+plot_qq_plot(
+  x,
+  transformer,
+  show_original = TRUE,
+  show_identity = TRUE,
+  use_alpha = TRUE,
+  ggtheme = NULL
+)
+}
+\arguments{
+\item{x}{A vector with numeric values that should be transformed to
+normality.}
+
+\item{transformer}{A transformer object created using
+\code{find_transformation_parameters}.}
+
+\item{show_original}{Show quantiles for original, untransformed, data in
+addition to transformed data.}
+
+\item{show_identity}{Show identity line that indicates equivalence between
+expected and observed quantiles.}
+
+\item{use_alpha}{Use transparency for points in case the data contains many
+instances.}
+
+\item{ggtheme}{\code{ggplot2} theme to use for the plot. If not provided,
+\code{ggplot2::theme_light} is used.}
+}
+\value{
+A \code{ggplot2} plot object for a Q-Q plot.
+}
+\description{
+Create a figure that plots the expected, theoretical normal quantiles
+(z-scores) against the observed normal quantiles (z-scores) of the data.
+}
+\examples{
+x <- exp(stats::rnorm(1000))
+transformer <- find_transformation_parameters(
+  x = x,
+  method = "box_cox")
+
+plot_qq_plot(
+  x = x,
+  transformer = transformer)
+}
diff --git a/man/plot_residual_plot.Rd b/man/plot_residual_plot.Rd
new file mode 100644
index 0000000..2b71f2d
--- /dev/null
+++ b/man/plot_residual_plot.Rd
@@ -0,0 +1,61 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/PlotResidualPlot.R
+\name{plot_residual_plot}
+\alias{plot_residual_plot}
+\title{Create residual plot}
+\usage{
+plot_residual_plot(
+  x,
+  transformer,
+  centre_width = NULL,
+  show_original = TRUE,
+  use_alpha = TRUE,
+  use_absolute_deviation = TRUE,
+  ggtheme = NULL
+)
+}
+\arguments{
+\item{x}{A vector with numeric values that should be transformed to
+normality.}
+
+\item{transformer}{A transformer object created using
+\code{find_transformation_parameters}.}
+
+\item{centre_width}{A numeric value between 0.0 and 1.0 that describes the
+width of the centre of the data. Can be NULL.}
+
+\item{show_original}{Show residuals for original, untransformed, data in
+addition to transformed data.}
+
+\item{use_alpha}{Use transparency for points in case the data contains many
+instances.}
+
+\item{use_absolute_deviation}{Plot absolute deviation instead of residuals.}
+
+\item{ggtheme}{\code{ggplot2} theme to use for the plot. If not provided,
+\code{ggplot2::theme_light} is used.}
+}
+\value{
+A \code{ggplot2} plot object for a Q-Q plot.
+}
+\description{
+Create a figure that plots the residuals of the data. These residuals are the
+difference between expected normal quantiles and observed quantiles.
+}
+\examples{
+x <- exp(stats::rnorm(1000))
+transformer <- find_transformation_parameters(
+  x = x,
+  method = "box_cox")
+
+plot_residual_plot(
+  x = x,
+  transformer = transformer)
+
+# Plot only central 80\% of the data.
+plot_residual_plot(
+  x = x,
+  transformer = transformer,
+  centre_width = 0.80,
+  show_original = FALSE)
+}
diff --git a/man/power.transform.Rd b/man/power.transform.Rd
new file mode 100644
index 0000000..ad9ccc7
--- /dev/null
+++ b/man/power.transform.Rd
@@ -0,0 +1,34 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/power.transform-package.R
+\docType{package}
+\name{power.transform}
+\alias{power.transform-package}
+\alias{power.transform}
+\title{power.transform: Transform Data to Normality using Power Transformations}
+\description{
+This package was originally based on, and contains code from, the familiar
+package (\url{https://cran.r-project.org/package=familiar}), under the EUPL
+license.
+}
+\seealso{
+Useful links:
+\itemize{
+  \item \url{https://github.com/oncoray/power.transform}
+  \item Report bugs at \url{https://github.com/oncoray/power.transform/issues}
+}
+
+}
+\author{
+\strong{Maintainer}: Alex Zwanenburg \email{alexander.zwanenburg@nct-dresden.de} (\href{https://orcid.org/0000-0002-0342-9545}{ORCID})
+
+Authors:
+\itemize{
+  \item Steffen Löck
+}
+
+Other contributors:
+\itemize{
+  \item German Cancer Research Center (DKFZ) [copyright holder]
+}
+
+}
diff --git a/man/power_transform.Rd b/man/power_transform.Rd
new file mode 100644
index 0000000..f8a7d6b
--- /dev/null
+++ b/man/power_transform.Rd
@@ -0,0 +1,79 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/FindParameters.R
+\name{power_transform}
+\alias{power_transform}
+\title{Transform values}
+\usage{
+power_transform(x, transformer = NULL, oob_action = "na", ...)
+}
+\arguments{
+\item{x}{A vector with numeric values that should be transformed to
+normality.}
+
+\item{transformer}{A transformer object created using
+\code{find_transformation_parameters}. If \code{NULL}, a transformer is generated
+internally.}
+
+\item{oob_action}{Action that should be taken when out-of-bounds values are
+encountered in \code{x}. This can for example be 0 or negative values for
+Box-Cox transformations.
+\itemize{
+\item \code{na} (default): replaces out-of-bounds values by NA values.
+\item \code{valid}: replaces out-of-bounds values by the closest valid boundary
+values.
+}
+
+This argument has no effect for Yeo-Johnson transformations.}
+
+\item{...}{
+  Arguments passed on to \code{\link[=find_transformation_parameters]{find_transformation_parameters}}
+  \describe{
+    \item{\code{method}}{One of the following methods for power transformation:
+\itemize{
+\item \code{box_cox}: Transformation using the Box-Cox transformation (Box and Cox,
+1964). The Box-Cox transformation requires that all data are strictly
+positive. Features that contain zero or negative values cannot be
+transformed using this transformation. In their work, Box and Cox define a
+shifted variant. We use this variant to shift values to a strictly positive
+range, when negative values are present. The Box-Cox transformation relies
+on a single parameter lambda, which is estimated through maximisation of
+the log-likelihood function corresponding to a normal distribution.
+\item \code{yeo_johnson}:Transformation using the Yeo-Johnson
+transformation (Yeo and Johnson, 2000). Unlike the Box-Cox transformation,
+the Yeo-Johnson transformation allows for negative and positive values.
+Like the Box-Cox transformation, this transformation relies on a single
+parameter lambda, which is estimated through maximisation of the
+log-likelihood function corresponding to a normal distribution.
+\item \code{none}: A fall-back method that will not transform values.
+}}
+    \item{\code{robust}}{Flag for using a robust version of Box-Cox or Yeo-Johnson
+transformation, as defined by Raymaekers and Rousseeuw (2021). This version
+is less sensitive in the presence outliers.}
+    \item{\code{invariant}}{Flag for using a version of Box-Cox or Yeo-Johnson
+transformation that simultaneously optimises location and scale in addition
+to the lambda parameter.}
+    \item{\code{lambda}}{Single lambda value, or range of lambda values that should be
+considered. Default: c(4.0, 6.0). Can be \code{NULL} to force optimisation
+without a constraint in lambda values.}
+    \item{\code{empirical_gof_normality_p_value}}{Significance value for the empirical
+goodness-of-fit test for central normality. The p-value is computed through
+the \code{assess_transformation} function. By setting this parameter to a
+numeric value other than \code{NULL}, the transformation will be rejected when
+the p-value of the test is below the significance value.}
+  }}
+}
+\value{
+A vector of transformed values of \code{x}.
+}
+\description{
+\code{power_transform} transforms numeric values to normality.
+}
+\examples{
+x <- exp(stats::rnorm(1000))
+y <- power_transform(
+  x = x,
+  method = "box_cox")
+}
+\seealso{
+\link{find_transformation_parameters}
+}
diff --git a/man/ragn.Rd b/man/ragn.Rd
new file mode 100644
index 0000000..778bc30
--- /dev/null
+++ b/man/ragn.Rd
@@ -0,0 +1,71 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/Utilities.R
+\name{ragn}
+\alias{ragn}
+\title{Random Values from the Asymmetric Generalised Normal Distribution}
+\usage{
+ragn(n, location = 0, scale = 1, alpha = 0.5, beta = 2)
+}
+\arguments{
+\item{n}{number of instances}
+
+\item{location}{central location of the distribution}
+
+\item{scale}{scale of the distribution. Must be strictly positive: \code{scale > 0.0}}
+
+\item{alpha}{value between 0.0 and 1.0 that determines the skewness of the
+distribution. \code{alpha > 0.5} creates a distribution with a negative skew
+(left-skewed), i.e. the left tail of the distribution is elongated, and the
+bulk of the distribution is located to the right. \code{alpha < 0.5} creates a
+distribution with a positive skew (right-skewed), i.e. the right tail of
+the distribution is elongated, and the bulk of the distribution is located
+to the left. For \code{alpha = 0.0}, the distribution does not have a skew.}
+
+\item{beta}{Strictly positive value (\code{beta > 0.0}) that determines the
+overall shape of the generalised normal distribution. For \code{beta = 1}, an
+asymmetric Laplace distribution is used. \code{beta = 2} draws values according
+to an asymmetric normal distribution. For large \code{beta} the distribution
+will approximate the uniform distribution.}
+}
+\value{
+One or more numeric values drawn from the asymmetric generalised
+normal distribution.
+}
+\description{
+Draws random values from an asymmetric generalised normal distribution.
+}
+\details{
+Random values drawn according to an asymmetric generalised normal
+distribution. Here the asymmetric generalised normal distribution is a
+symmetric general normal distribution, that is made asymmetric using the
+procedure described by Gijbels et al. To generate random values we use the
+quantile function of the symmetric generalised normal distribution that was
+derived by M. Griffin.
+
+The default parameter values produce values as if drawn from the standard
+normal distribution with \eqn{\sigma = \sqrt{2}}, that is, the standard
+deviation is not \eqn{\sqrt{2}} instead of \eqn{1}.
+}
+\examples{
+# Draw values from a standard normal distribution.
+x <- power.transform::ragn(n = 10000, scale = 1/sqrt(2))
+hist(x, 50)
+
+# Draw values from a left-skewed normal distribution.
+x <- power.transform::ragn(n = 10000, scale = 1/sqrt(2), alpha = 0.8)
+hist(x, 50)
+
+# Draw values from a right-skewed normal distribution.
+x <- power.transform::ragn(n = 10000, scale = 1/sqrt(2), alpha = 0.2)
+hist(x, 50)
+
+# Draw values from a standard laplace distribution.
+x <- power.transform::ragn(n = 10000, scale = 1/sqrt(2), beta = 1.0)
+hist(x, 50)
+}
+\references{
+\enumerate{
+\item Gijbels I, Karim R, Verhasselt A. Quantile Estimation in a Generalized
+\item Griffin M (2018). gnorm: Generalized Normal/Exponential Power Distribution.
+}
+}
diff --git a/man/revert_power_transform.Rd b/man/revert_power_transform.Rd
new file mode 100644
index 0000000..d106d79
--- /dev/null
+++ b/man/revert_power_transform.Rd
@@ -0,0 +1,38 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/FindParameters.R
+\name{revert_power_transform}
+\alias{revert_power_transform}
+\title{Revert transformation}
+\usage{
+revert_power_transform(y, transformer)
+}
+\arguments{
+\item{y}{A vector with numeric values that was previously transformed to
+normality.}
+
+\item{transformer}{A transformer object created using
+\code{find_transformation_parameters} that was used to transform the values to
+normality previously. Cannot be \code{NULL}.}
+}
+\value{
+A vector of values.
+}
+\description{
+\code{revert_power_transform} reverts the transformation of numeric values to
+normality.
+}
+\examples{
+x0 <- exp(stats::rnorm(1000))
+
+transformer <- find_transformation_parameters(
+  x = x0,
+  method = "box_cox")
+
+y <- power_transform(
+  x = x0,
+  transformer = transformer)
+
+x1 <- revert_power_transform(
+  y = y,
+  transformer = transformer)
+}
diff --git a/man/scale-accessor-method.Rd b/man/scale-accessor-method.Rd
new file mode 100644
index 0000000..5f83da2
--- /dev/null
+++ b/man/scale-accessor-method.Rd
@@ -0,0 +1,28 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/AccessorsMutatorsScale.R
+\name{get_scale}
+\alias{get_scale}
+\alias{get_scale,transformationPowerTransform-method}
+\alias{get_scale,transformationBoxCox-method}
+\alias{get_scale,transformationYeoJohnson-method}
+\title{Get scale value}
+\usage{
+get_scale(object, ...)
+
+\S4method{get_scale}{transformationPowerTransform}(object, ...)
+
+\S4method{get_scale}{transformationBoxCox}(object, ...)
+
+\S4method{get_scale}{transformationYeoJohnson}(object, ...)
+}
+\arguments{
+\item{object}{Transformer object}
+
+\item{...}{Unused arguments}
+}
+\value{
+scale value of the transformer.
+}
+\description{
+Get the scale value of a transformer object.
+}
diff --git a/man/scale-mutator-method.Rd b/man/scale-mutator-method.Rd
new file mode 100644
index 0000000..21cb93b
--- /dev/null
+++ b/man/scale-mutator-method.Rd
@@ -0,0 +1,30 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/AccessorsMutatorsScale.R
+\name{set_scale}
+\alias{set_scale}
+\alias{set_scale,transformationPowerTransform-method}
+\alias{set_scale,transformationBoxCox-method}
+\alias{set_scale,transformationYeoJohnson-method}
+\title{Set scale value}
+\usage{
+set_scale(object, scale, ...)
+
+\S4method{set_scale}{transformationPowerTransform}(object, scale, ...)
+
+\S4method{set_scale}{transformationBoxCox}(object, scale, ...)
+
+\S4method{set_scale}{transformationYeoJohnson}(object, scale, ...)
+}
+\arguments{
+\item{object}{Transformer object}
+
+\item{scale}{scale value}
+
+\item{...}{Unused arguments}
+}
+\value{
+Transformer object with updated scale value.
+}
+\description{
+Set the scale value of a transformer object.
+}
diff --git a/man/shift-accessor-method.Rd b/man/shift-accessor-method.Rd
new file mode 100644
index 0000000..051f7b0
--- /dev/null
+++ b/man/shift-accessor-method.Rd
@@ -0,0 +1,28 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/AccessorsMutatorsShift.R
+\name{get_shift}
+\alias{get_shift}
+\alias{get_shift,transformationPowerTransform-method}
+\alias{get_shift,transformationBoxCox-method}
+\alias{get_shift,transformationYeoJohnson-method}
+\title{Get shift value}
+\usage{
+get_shift(object, ...)
+
+\S4method{get_shift}{transformationPowerTransform}(object, ...)
+
+\S4method{get_shift}{transformationBoxCox}(object, ...)
+
+\S4method{get_shift}{transformationYeoJohnson}(object, ...)
+}
+\arguments{
+\item{object}{Transformer object}
+
+\item{...}{Unused arguments}
+}
+\value{
+shift value of the transformer.
+}
+\description{
+Get the shift value of a transformer object.
+}
diff --git a/man/shift-mutator-method.Rd b/man/shift-mutator-method.Rd
new file mode 100644
index 0000000..c769c21
--- /dev/null
+++ b/man/shift-mutator-method.Rd
@@ -0,0 +1,30 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/AccessorsMutatorsShift.R
+\name{set_shift}
+\alias{set_shift}
+\alias{set_shift,transformationPowerTransform-method}
+\alias{set_shift,transformationBoxCox-method}
+\alias{set_shift,transformationYeoJohnson-method}
+\title{Set shift value}
+\usage{
+set_shift(object, shift, ...)
+
+\S4method{set_shift}{transformationPowerTransform}(object, shift, ...)
+
+\S4method{set_shift}{transformationBoxCox}(object, shift, ...)
+
+\S4method{set_shift}{transformationYeoJohnson}(object, shift, ...)
+}
+\arguments{
+\item{object}{Transformer object}
+
+\item{shift}{Shift value}
+
+\item{...}{Unused arguments}
+}
+\value{
+Transformer object with updated shift value.
+}
+\description{
+Set the shift value of a transformer object.
+}
diff --git a/man/transformation-method-accessor-method.Rd b/man/transformation-method-accessor-method.Rd
new file mode 100644
index 0000000..b7e9d05
--- /dev/null
+++ b/man/transformation-method-accessor-method.Rd
@@ -0,0 +1,22 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/AccessorsTransformationMethod.R
+\name{get_transformation_method}
+\alias{get_transformation_method}
+\alias{get_transformation_method,transformationPowerTransform-method}
+\title{Get transformation method}
+\usage{
+get_transformation_method(object, ...)
+
+\S4method{get_transformation_method}{transformationPowerTransform}(object, ...)
+}
+\arguments{
+\item{object}{Transformer object}
+
+\item{...}{Unused arguments}
+}
+\value{
+Transformation method
+}
+\description{
+Get the transformation method of a transformer object.
+}
diff --git a/man/transformationNone-class.Rd b/man/transformationNone-class.Rd
new file mode 100644
index 0000000..9217467
--- /dev/null
+++ b/man/transformationNone-class.Rd
@@ -0,0 +1,17 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/TransformationObjects.R
+\docType{class}
+\name{transformationNone-class}
+\alias{transformationNone-class}
+\title{No transformation object}
+\description{
+This class is for transformers that do not alter the data.
+}
+\section{Slots}{
+
+\describe{
+\item{\code{method}}{Main transformation method, i.e. \code{"none"}.}
+
+\item{\code{complete}}{Indicates whether transformation parameters were set.}
+}}
+
diff --git a/man/transformationPowerTransform-class.Rd b/man/transformationPowerTransform-class.Rd
new file mode 100644
index 0000000..d62d8c4
--- /dev/null
+++ b/man/transformationPowerTransform-class.Rd
@@ -0,0 +1,20 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/TransformationObjects.R
+\docType{class}
+\name{transformationPowerTransform-class}
+\alias{transformationPowerTransform-class}
+\title{Generic transformation object}
+\description{
+This is the superclass for transformation objects.
+}
+\section{Slots}{
+
+\describe{
+\item{\code{method}}{Main transformation method.}
+
+\item{\code{complete}}{Indicates whether transformation parameters were set.}
+
+\item{\code{version}}{Version of the power.transform package that was used to create
+the transformation objecst.}
+}}
+
diff --git a/man/transformation_box_cox.Rd b/man/transformation_box_cox.Rd
new file mode 100644
index 0000000..d3e1e49
--- /dev/null
+++ b/man/transformation_box_cox.Rd
@@ -0,0 +1,39 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/TransformationBoxCox.R
+\docType{class}
+\name{transformationBoxCox-class}
+\alias{transformationBoxCox-class}
+\alias{transformationBoxCoxInvariant-class}
+\title{Box-Cox transformation object}
+\description{
+This class is used for Box-Cox transformations.
+}
+\section{Slots}{
+
+\describe{
+\item{\code{method}}{Main transformation method, i.e. \code{"box_cox"}.}
+
+\item{\code{robust}}{Indicates whether a robust version of the Box-Cox transformation
+is used to set transformation parameters. The value depends on the \code{robust}
+argument of the \code{find_transformation_parameters} function.}
+
+\item{\code{lambda}}{Numeric lambda parameter for the Box-Cox transformation.}
+
+\item{\code{shift}}{Numeric shift parameter for the Box-Cox transformation. The value
+depends on the data used for setting transformation parameters. If all data
+are strictly positive, \code{shift} has a value of \code{0.0}. When negative or zero
+values are present, data are shifted to be strictly positive. If
+\code{invariant=TRUE} in the \code{find_transformation_parameters} function,
+\code{lambda}, \code{shift} and \code{scale} parameters are optimised simultaneously.}
+
+\item{\code{scale}}{Numeric scale parameter for the Box-Cox transformation. If
+\code{invariant=TRUE} in the \code{find_transformation_parameters} function,
+\code{lambda}, \code{shift} and \code{scale} parameters are optimised simultaneously.
+Otherwise, the \code{scale} parameter has a value of \code{1.0}.}
+
+\item{\code{complete}}{Indicates whether transformation parameters were set.}
+}}
+
+\seealso{
+\link{find_transformation_parameters}
+}
diff --git a/man/transformation_yeo_johnson.Rd b/man/transformation_yeo_johnson.Rd
new file mode 100644
index 0000000..e1e6ae0
--- /dev/null
+++ b/man/transformation_yeo_johnson.Rd
@@ -0,0 +1,37 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/TransformationYeoJohnson.R
+\docType{class}
+\name{transformationYeoJohnson-class}
+\alias{transformationYeoJohnson-class}
+\alias{transformationYeoJohnsonInvariant-class}
+\title{Yeo-Johnson transformation object}
+\description{
+This class is used for Yeo-Johnson transformations.
+}
+\section{Slots}{
+
+\describe{
+\item{\code{method}}{Main transformation method, i.e. \code{"yeo_johnson"}.}
+
+\item{\code{robust}}{Indicates whether a robust version of the Yeo-Johnson
+transformation is used to set transformation parameters. The value depends
+on the \code{robust} argument of the \code{find_transformation_parameters} function.}
+
+\item{\code{lambda}}{Numeric lambda parameter for the Yeo-Johnson transformation.}
+
+\item{\code{shift}}{Numeric shift parameter for the Yeo-Johnson transformation. If
+\code{invariant=TRUE} in the \code{find_transformation_parameters} function,
+\code{lambda}, \code{shift} and \code{scale} parameters are optimised simultaneously.
+Otherwise, the \code{shift} parameter has a value of \code{0.0}.}
+
+\item{\code{scale}}{Numeric scale parameter for the Yeo-Johnson transformation. If
+\code{invariant=TRUE} in the \code{find_transformation_parameters} function,
+\code{lambda}, \code{shift} and \code{scale} parameters are optimised simultaneously.
+Otherwise, the \code{scale} parameter has a value of \code{1.0}.}
+
+\item{\code{complete}}{Indicates whether transformation parameters were set.}
+}}
+
+\seealso{
+\link{find_transformation_parameters}
+}