get_output transforms the input x to the observed data y given the transformation vector c("tau=\n", "(mux(boldsymbolbeta),sigmax(boldsymbolbeta),gamma,alpha,\n", "delta)").
This is the inverse of get_input.
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.
Returns
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 z,
y: transformed output data y, which has a Lambert W × F distribution.
See Also
get_input; Gaussianize with argument inverse = TRUE.