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-any)TideCurves_0.0.5.zip(r-4.6-any)TideCurves_0.0.5.zip(r-4.5-any)
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 276 downloads 4 exports 9 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK129
source / vignettesOK184
linux-release-x86_64OK132
macos-release-arm64OK101
macos-oldrel-arm64OK106
windows-develOK92
windows-releaseOK79
windows-oldrelOK163
wasm-releaseOK105

Exports:BuildTCResCurveSynTCTideCurve

Dependencies:chrondata.tabledotCall64fieldsmapsRColorBrewerRcppspamviridisLite