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-4.5)TideCurves_0.0.5.zip(r-4.4)TideCurves_0.0.5.zip(r-4.3)
TideCurves_0.0.5.tgz(r-4.5-any)TideCurves_0.0.5.tgz(r-4.4-any)TideCurves_0.0.5.tgz(r-4.3-any)
TideCurves_0.0.5.tar.gz(r-4.5-noble)TideCurves_0.0.5.tar.gz(r-4.4-noble)
TideCurves_0.0.5.tgz(r-4.4-emscripten)TideCurves_0.0.5.tgz(r-4.3-emscripten)
TideCurves.pdf |TideCurves.html✨
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:

2.70 score 10 scripts 308 downloads 4 exports 8 dependencies

Last updated 4 years agofrom:f3ff65cf87. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 12 2025
R-4.5-winOKFeb 12 2025
R-4.5-macOKFeb 12 2025
R-4.5-linuxOKFeb 12 2025
R-4.4-winOKFeb 12 2025
R-4.4-macOKFeb 12 2025
R-4.3-winOKFeb 12 2025
R-4.3-macOKFeb 12 2025

Exports:BuildTCResCurveSynTCTideCurve

Dependencies:chrondata.tabledotCall64fieldsmapsRcppspamviridisLite