Package: TideCurves 0.0.5

TideCurves: Analysis and Prediction of Tides

Tidal analysis of evenly spaced observed time series (time step 1 to 60 min) with or without shorter gaps using the harmonic representation of inequalities. The analysis should preferably cover an observation period of at least 19 years. For shorter periods low frequency constituents are not taken into account, in accordance with the Rayleigh-Criterion. The main objective of this package is to synthesize or predict a tidal time series.

Authors:Moritz Mueller-Navarra [aut, cre], Sylvin Mueller-Navarra [aut], Andreas Boesch [ctb]

TideCurves_0.0.5.tar.gz
TideCurves_0.0.5.zip(r-4.7)TideCurves_0.0.5.zip(r-4.6)TideCurves_0.0.5.zip(r-4.5)
TideCurves_0.0.5.tgz(r-4.6-any)TideCurves_0.0.5.tgz(r-4.5-any)
TideCurves_0.0.5.tar.gz(r-4.7-any)TideCurves_0.0.5.tar.gz(r-4.6-any)
TideCurves_0.0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
TideCurves/json (API)

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

Bug tracker:https://github.com/moritzmn/tidecurves/issues

Datasets:

On CRAN:

Conda:

2.70 score 10 scripts 227 downloads 4 exports 9 dependencies

Last updated from:f3ff65cf87. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK121
source / vignettesOK237
linux-release-x86_64OK117
macos-release-arm64OK86
macos-oldrel-arm64OK104
windows-develOK94
windows-releaseOK144
windows-oldrelOK94
wasm-releaseOK109

Exports:BuildTCResCurveSynTCTideCurve

Dependencies:chrondata.tabledotCall64fieldsmapsRColorBrewerRcppspamviridisLite