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✨
card.svg |card.png
TideCurves/json (API)
NEWS

# 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 212 downloads 4 exports 9 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK124
source / vignettesOK160
linux-release-x86_64OK116
macos-release-arm64OK113
macos-oldrel-arm64OK89
windows-develOK110
windows-releaseOK79
windows-oldrelOK82
wasm-releaseOK105

Exports:BuildTCResCurveSynTCTideCurve

Dependencies:chrondata.tabledotCall64fieldsmapsRColorBrewerRcppspamviridisLite