Package: cleanNPN 0.0.0.9000

Brianna Shepherd

cleanNPN: Reproducible Workflow for Cleaning National Phenology Network Status and Intensity Data

The `cleanNPN` R package provides a reproducible workflow for processing National Phenology Network (NPN) status and intensity phenological data, enabling researchers to quickly clean raw datasets using a suite of built-in functions.

Authors:Brianna Shepherd [aut, cre], Yiluan Song [aut]

cleanNPN_0.0.0.9000.tar.gz
cleanNPN_0.0.0.9000.zip(r-4.7-any)cleanNPN_0.0.0.9000.zip(r-4.6-any)cleanNPN_0.0.0.9000.zip(r-4.5-any)
cleanNPN_0.0.0.9000.tgz(r-4.6-any)cleanNPN_0.0.0.9000.tgz(r-4.5-any)
cleanNPN_0.0.0.9000.tar.gz(r-4.7-any)cleanNPN_0.0.0.9000.tar.gz(r-4.6-any)
cleanNPN_0.0.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
cleanNPN/json (API)

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

Bug tracker:https://github.com/pitt-songlab/cleannpn/issues

On CRAN:

Conda:

3.11 score 1 scripts 7 exports 32 dependencies

Last updated from:66befcf2fe. Checks:7 WARNING, 1 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develWARNING124
source / vignettesERROR198
linux-releaseWARNING118
macos-releaseWARNING103
macos-oldrelWARNING96
windows-develWARNING71
windows-releaseWARNING59
windows-oldrelWARNING87
wasm-releaseOK96

Exports:calc_first_yesclean_by_leading_noclean_by_resolving_conflictclean_by_trailing_yesclean_by_windowclean_datadownload_test_data

Dependencies:askpassclicpp11curldplyrgenericsgluehttr2jsonlitelifecyclelubridatemagrittropensslpillarpkgconfigpurrrR6rlangrnpnsliderstringistringrsystibbletidyrtidyselecttimechangeutf8vctrswarpwithrxml2