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 (may not be active yet)
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:

Reference manual:	fluxfixer.html , fluxfixer.pdf
Vignettes:	fluxfixer (source, R code)

Downloads:

Package source:	fluxfixer_1.0.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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