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-4.4-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'))

Peer review:

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

Datasets:

On CRAN:

2.70 score 10 scripts 259 downloads 4 exports 8 dependencies

Last updated 3 years agofrom:f3ff65cf87. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 15 2024
R-4.5-winOKOct 15 2024
R-4.5-linuxOKOct 15 2024
R-4.4-winOKOct 15 2024
R-4.4-macOKOct 15 2024
R-4.3-winOKOct 15 2024
R-4.3-macOKOct 15 2024

Exports:BuildTCResCurveSynTCTideCurve

Dependencies:chrondata.tabledotCall64fieldsmapsRcppspamviridisLite