Package: restrend 0.4.2

Dave Lorenz

restrend: EStimate TRENDs

Collection of functions to estimate linear or monotonic trends in hydrologic data.

Authors:Dave Lorenz [cre]

restrend_0.4.2.tar.gz
restrend_0.4.2.zip(r-4.7-x86_64)restrend_0.4.2.zip(r-4.7-arm64)restrend_0.4.2.zip(r-4.6-x86_64)restrend_0.4.2.zip(r-4.6-arm64)restrend_0.4.2.zip(r-4.5-x86_64)
restrend_0.4.2.tgz(r-4.6-x86_64)restrend_0.4.2.tgz(r-4.6-arm64)restrend_0.4.2.tgz(r-4.5-x86_64)restrend_0.4.2.tgz(r-4.5-arm64)
restrend_0.4.2.tar.gz(r-4.7-arm64)restrend_0.4.2.tar.gz(r-4.7-x86_64)restrend_0.4.2.tar.gz(r-4.6-arm64)restrend_0.4.2.tar.gz(r-4.6-x86_64)
restrend_0.4.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
restrend/json (API)

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

Bug tracker:https://github.com/usgs-r/restrend/issues

Uses libs:
  • fortran– Runtime library for GNU Fortran applications
Datasets:

On CRAN:

Conda:

fortran

3.60 score 2 stars 1 scripts 18 exports 126 dependencies

Last updated from:1c0ff8af38. Checks:12 NOTE, 2 OK, 1 WARNING. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE186
linux-devel-x86_64NOTE204
source / vignettesOK246
linux-release-arm64NOTE181
linux-release-x86_64NOTE191
macos-release-arm64NOTE169
macos-release-x86_64NOTE263
macos-oldrel-arm64NOTE154
macos-oldrel-x86_64NOTE505
windows-devel-arm64NOTE265
windows-devel-x86_64NOTE186
windows-release-arm64WARNING386
windows-release-x86_64NOTE129
windows-oldrel-x86_64NOTE156
wasm-releaseOK134

Exports:annualTrendscensSeakenckProjdropAllMissingflowAdjustgetTrendslsProjplotTrendsplotTTregionalSeakenRSKTrendssampReportsetProjSKTrendssumSamptobitTrendsundoFAuseProj

Dependencies:abindakimaaskpassbackportsbitbit64bootbroomcachemcarcarDataclassclassIntclicliprcodetoolscoincolorspacecowplotcpp11crayoncurldata.tabledataRetrievalDBIDerivdigestdoBydplyre1071farverfastmapforecastFormulafracdiffg.datagenericsggplot2gluegtablehmshttr2isobandjsonliteKernSmoothlabelinglatticeleapslibcoinlifecyclelme4lmtestlubridatemagrittrMASSMatrixMatrixModelsmatrixStatsmemoisemgcvminqamodelrmodeltoolsmultcompmvtnormNADAnlmenloptrnnetnumDerivopensslpbkrtestpillarpkgconfigprettyunitsprogressproxypurrrquantregR6randtestsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreadrreformulasrlangs2S7sandwichscalessfsmwrBasesmwrGraphssmwrQWsmwrStatsspSparseMstringistringrsurvivalsysTH.datatibbletidyrtidyselecttimechangetimeDatetruncnormtzdbunitsurcautf8vctrsviridisLitevroomwhiskerwithrwkXMLxml2zCompositionszoo

Regional Trends
Introduction | Summarize the Sample Data | Set up the Project | Seasonal Kendall Trend Test | Regional Trend | Further Remarks
Rendered fromRegional.Rnwusingutils::Sweave

Last update: 2015-12-04
Started: 2015-12-04

Trends using Monthly Seasonal Kendall
Introduction | Summarize the Sample Data | Set up the Project | Seasonal Kendall Trend Test | Trend Results | Further Remarks
Rendered fromNutrients.Rnwusingutils::Sweave

Last update: 2015-12-04
Started: 2015-12-04

Trends using Seasonal Kendall
Introduction | Summarize the Sample Data | Set up the Project | Flow Adjustment | Seasonal Kendall Trend Test | Trend Results | Further Remarks
Rendered fromMajorIons.Rnwusingutils::Sweave

Last update: 2015-12-04
Started: 2015-12-04

Trends using Tobit
Introduction | Summarize the Sample Data | Set up the Project | Tobit Trend Test | Trend Results | Further Remarks
Rendered fromMetals.Rnwusingutils::Sweave

Last update: 2015-12-04
Started: 2015-12-04