| get_output {LambertW} | R Documentation |
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.
get_output(x, tau, return.z = FALSE)
x |
a numeric vector of data values. |
tau |
named vector τ which defines the variable transformation.
Must have at least |
return.z |
should the shifted and scaled output also be returned?
Default: |
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.