Package: WtRegDO 1.0.2

WtRegDO: Implement Weighted Regression on Dissolved Oxygen Time Series

A sample dataset and functions to implement weighted regression on dissolved oxygen time series are included as a simple example to reduce the effects of tidal advection. Functions are also available to estimate net ecosystem metabolism using the open-water method.

Authors:Marcus W. Beck [aut, cre]

WtRegDO_1.0.2.tar.gz
WtRegDO_1.0.2.zip(r-4.7)WtRegDO_1.0.2.zip(r-4.6)WtRegDO_1.0.2.zip(r-4.5)
WtRegDO_1.0.2.tgz(r-4.6-any)WtRegDO_1.0.2.tgz(r-4.5-any)
WtRegDO_1.0.2.tar.gz(r-4.7-any)WtRegDO_1.0.2.tar.gz(r-4.6-any)
WtRegDO_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
WtRegDO/json (API)

# Install 'WtRegDO' in R:
install.packages('WtRegDO', repos = c('https://fawda123.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/fawda123/wtregdo/issues

Datasets:
  • metab_dtd - Ecosystem metabolism for SAPDC from detided DO
  • metab_obs - Ecosystem metabolism for SAPDC from observed DO
  • SAPDC - Sample dataset for weighted regression
  • sfbay - San Francisco Bay water quality data
  • wtreg_res - Results from weighted regression with the SAPDC dataset

On CRAN:

Conda:

detidingmetabolismweighted-regression

3.48 score 6 stars 50 scripts 15 exports 41 dependencies

Last updated from:b06bc8b087. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE146
source / vignettesOK192
linux-release-x86_64NOTE157
macos-release-arm64NOTE101
macos-oldrel-arm64NOTE127
windows-develNOTE95
windows-releaseNOTE96
windows-oldrelNOTE94
wasm-releaseOK110

Exports:climmeansecometabevalcorf_calcKLf_calcWanninkhofmet_day_funmetevalobjfunoxySchmidtoxySolsmootherwinoptwtfunwtobjfunwtreg

Dependencies:clicodetoolscpp11data.tabledplyrfarverforeachgenericsggplot2gluegswgtableisobanditeratorslabelinglifecyclelubridatemagrittrocepillarpkgconfigplyrpurrrR6RColorBrewerRcppreshape2rlangS7scalesstringistringrsuncalctibbletidyrtidyselecttimechangeutf8vctrsviridisLitewithr