Package: UpDown 1.2.2

UpDown: Detecting Group Disturbances from Longitudinal Observations

Provides an algorithm to detect and characterize disturbances (start, end dates, intensity) that can occur at different hierarchical levels by studying the dynamics of longitudinal observations at the unit level and group level based on Nadaraya-Watson's smoothing curves, but also a shiny app which allows to visualize the observations and the detected disturbances. Finally the package provides a dataframe mimicking a pig farming system subsected to disturbances simulated according to Le et al.(2022) <doi:10.1016/j.animal.2022.100496>.

Authors:Tom Rohmer [aut, cre], Vincent Le [aut], Ingrid David [aut]

UpDown_1.2.2.tar.gz
UpDown_1.2.2.zip(r-4.5)UpDown_1.2.2.zip(r-4.4)UpDown_1.2.2.zip(r-4.3)
UpDown_1.2.2.tgz(r-4.5-any)UpDown_1.2.2.tgz(r-4.4-any)UpDown_1.2.2.tgz(r-4.3-any)
UpDown_1.2.2.tar.gz(r-4.5-noble)UpDown_1.2.2.tar.gz(r-4.4-noble)
UpDown_1.2.2.tgz(r-4.4-emscripten)UpDown_1.2.2.tgz(r-4.3-emscripten)
UpDown.pdf |UpDown.html
UpDown/json (API)

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

Bug tracker:https://github.com/tomrohmer/updown/issues

Datasets:
  • PigDisturbance - Non-observable information about the disturbances occuring in the 'PigFarming' dataset
  • PigFarming - Simulated longitudinal phenotypes that mimics a pig-farming dataset subsected to disturbances

On CRAN:

Conda:

2.70 score 1 scripts 161 downloads 2 exports 81 dependencies

Last updated 1 years agofrom:314aadea4a. Checks:6 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 08 2025
R-4.5-winNOTEMar 08 2025
R-4.5-macNOTEMar 08 2025
R-4.5-linuxNOTEMar 08 2025
R-4.4-winOKMar 08 2025
R-4.4-macOKMar 08 2025
R-4.4-linuxOKMar 08 2025
R-4.3-winOKMar 08 2025
R-4.3-macOKMar 08 2025

Exports:UpDownUpDownApp

Dependencies:askpassbase64encbslibcachemclicolorspacecommonmarkcpp11crayoncrosstalkcurldata.tabledigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonlitekernlabknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmclustmemoisemgcvmimemixtoolsmunsellnlmeopensslpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalessegmentedshinysourcetoolsstringistringrsurvivalsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxtableyaml