# get_output: Transform input X to output Y In LambertW: Probabilistic Models to Analyze and Gaussianize Heavy-Tailed, Skewed Data

 get_output R Documentation

## Transform input X to output Y

### Description

get_output transforms the input \boldsymbol x to the observed data \boldsymbol y given the transformation vector τ = (μ_x(\boldsymbol β), σ_x(\boldsymbol β), γ, α, δ).

This is the inverse of get_input.

### Usage

get_output(x, tau, return.z = FALSE)


### Arguments

 x a numeric vector of data values. tau named vector τ which defines the variable transformation. Must have at least 'mu_x' and 'sigma_x' element; see complete_tau for details. return.z should the shifted and scaled output also be returned? Default: FALSE.

### Value

A numeric object of same size/dimension as input x.

If return.z = TRUE, then it returns a list with 2 vectors

 z shifted and scaled input \boldsymbol z, y transformed output data \boldsymbol y, which has a Lambert W \times F distribution.

get_input; Gaussianize with argument inverse = TRUE.