Package: photobiologyFlecks 0.0.0.9000

photobiologyFlecks: Analysis of sun- and shade flecks

Functions for the analysis of time series of natural light irradiance measured at high frequency. Denoising, and quantification of duration and amplitude of sun-, shade-, cloud- and wind flecks.

Authors:Pedro J. Aphalo [aut, cre], Maxime Durand [aut]

photobiologyFlecks_0.0.0.9000.tar.gz
photobiologyFlecks_0.0.0.9000.zip(r-4.7)photobiologyFlecks_0.0.0.9000.zip(r-4.6)photobiologyFlecks_0.0.0.9000.zip(r-4.5)
photobiologyFlecks_0.0.0.9000.tgz(r-4.6-any)photobiologyFlecks_0.0.0.9000.tgz(r-4.5-any)
photobiologyFlecks_0.0.0.9000.tar.gz(r-4.7-any)photobiologyFlecks_0.0.0.9000.tar.gz(r-4.6-any)
photobiologyFlecks_0.0.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
photobiologyFlecks/json (API)

# Install 'photobiologyFlecks' in R:
install.packages('photobiologyFlecks', repos = c('https://aphalo.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/aphalo/photobiologyflecks/issues

Pkgdown/docs site:https://docs.r4photobiology.info

Datasets:

On CRAN:

Conda:

3.70 score 1 stars 7 scripts 7 exports 22 dependencies

Last updated from:27dcddfe67. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK138
source / vignettesOK267
linux-release-x86_64OK119
macos-release-arm64OK120
macos-oldrel-arm64OK80
windows-develOK96
windows-releaseOK107
windows-oldrelOK91
wasm-releaseOK125

Exports:combine_integdenoise_chunksfind_flecksfind_zerossplit_chunkssummarize_chunksummarize_chunks

Dependencies:anytimeBHclicpp11dplyrgenericsgluelifecyclelubridatemagrittrpillarpkgconfigR6RcpprlangSunCalcMeeustibbletidyselecttimechangeutf8vctrswithr

User Guide: 1 Pre-processing
Introduction | Current state | Set up | The data | Split data into chunks | Summaries | Statistics | Locating change points | Using diff() | Durand's et al. algorithm | Using a reference | Using a quantile smoother
Rendered fromuser-guide.Rmdusingknitr::rmarkdown

Last update: 2026-04-22
Started: 2025-10-19

User Guide: 0 The R for Photobiology Suite
Introduction | References | Packages in the suite | Acknowledgements
Rendered fromr4p-introduction.Rmdusingknitr::rmarkdown

Last update: 2026-04-21
Started: 2026-04-21