fluxfixer: Advanced Framework for Sap Flow Data Post-Process
Provides a flexible framework for post-processing thermal
dissipation sap flow data using statistical methods and machine learning.
This framework includes anomaly correction, outlier removal, gap-filling,
trend removal, signal damping correction, and sap flux density calculation.
The functions in this package can also apply to other time series with
various artifacts.
| Version: |
1.0.0 |
| Depends: |
R (≥ 4.0) |
| Imports: |
dplyr (≥ 1.0.7), gsignal (≥ 0.3-4), lubridate (≥ 1.7.9), magrittr (≥ 2.0.3), ranger (≥ 0.13.1), rlang (≥ 1.1.3), stats (≥ 4.0.3), tidyr (≥ 1.1.4), tidyselect (≥ 1.2.0), xts (≥ 0.12.1), zoo (≥ 1.8-8) |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2026-02-02 |
| DOI: |
10.32614/CRAN.package.fluxfixer |
| Author: |
Yoshiaki Hata 
[aut, cre, cph] |
| Maintainer: |
Yoshiaki Hata <yoshiakihata0806 at gmail.com> |
| BugReports: |
https://github.com/yhata86/fluxfixer/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/yhata86/fluxfixer,
https://yhata86.github.io/fluxfixer/ |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
fluxfixer results |
Documentation:
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