FunctionalCalibration: an R package for estimation in aggregated functional data model
Computation
2026-04-07 v1 Methodology
Abstract
We consider the statistical problem of estimating constituent curves from observations of their aggregated curves, referred to as aggregated functional data, in models with additive errors. A typical model arises in chemometrics via the Beer-Lambert law. The package FunctionalCalibration provides functions to estimate individual curves from aggregated curves by using splines or wavelet basis expansion.
Keywords
Cite
@article{arxiv.2604.03284,
title = {FunctionalCalibration: an R package for estimation in aggregated functional data model},
author = {Alex Rodrigo dos Santos Sousa and Vitor Ribas Perrone},
journal= {arXiv preprint arXiv:2604.03284},
year = {2026}
}