R: Transform input X to output Y

get_output {LambertW} | 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.

### See Also

`get_input`; `Gaussianize` with argument `inverse = TRUE`.

[Package LambertW version 0.6.7 Index]