Transform the reconstructed values back to the flow space and convert to data.table
back_trans(hat, years, mus, sigmas, log.trans, N, season.names)A vector of estimated flow in the transformed space.
A vector of all years in the study period
A vector of means, one for each target.
A vector of the standard deviations, one for each target.
A vector containing the indices of the columns to be log-transformed.
The number of targets (number of seasons plus one for the annual reconstruction).
A character vector containing the names of the seasons
A data.table with three columns: Q (the back-transformed streamflow), season, and year.