junbinzhao/FluxGapsR: Gap-filling for flux data using different methods

This is a package including four gap-filling methods for soil respiration data investigated in the study of Zhao et al. 2019 (to be published). The four methods are referred to as non-linear least squares (NLS), artificial neural networks (ANN), singular spectrum analysis (SSA) and expectation-maximization (EM).

Getting started

Package details

AuthorJunbin Zhao
MaintainerJunbin Zhao <junbinzhao1985@gmail.com>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
junbinzhao/FluxGapsR documentation built on Feb. 22, 2022, 7:30 p.m.