Dear list,
I’m using the ‘mgcv’ package to fit some GAMs. Some of my covariates are
derived quantities and have an associated standard error, so I would
like to incorporate this uncertainty into the GAM estimation process.
Ideally, during the estimation process less importance would be given
Let's simplify to a linear model. If your covariates have uncertainties,
most likely a linear regression is not appropriate. This sounds like an
'errors in measurements' model, as covered in
@Book{Fuller.87,
author = Fuller, Wayne A.,
title= Measurement Error Models,
