Package: FeedbackTS 1.5

Samuel Soubeyrand

FeedbackTS: Analysis of Feedback in Time Series

Analysis of fragmented time directionality to investigate feedback in time series. Tools provided by the package allow the analysis of feedback for a single time series and the analysis of feedback for a set of time series collected across a spatial domain.

Authors:Samuel Soubeyrand, Cindy E. Morris, E. Keith Bigg

FeedbackTS_1.5.tar.gz
FeedbackTS_1.5.tar.gz(r-4.5-noble)FeedbackTS_1.5.tar.gz(r-4.4-noble)
FeedbackTS_1.5.tgz(r-4.4-emscripten)FeedbackTS_1.5.tgz(r-4.3-emscripten)
FeedbackTS.pdf |FeedbackTS.html
FeedbackTS/json (API)

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

Peer review:

Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

12 exports 0.00 score 55 dependencies 17 scripts 268 downloads

Last updated 5 years agofrom:664b19615a. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 10 2024
R-4.5-linuxOKSep 10 2024

Exports:after.minus.beforefeedback.statsfeedback.testkddkdd.from.raw.datakdd.yearly.averagekrigekrige.testmap.statisticplotshowsummary

Dependencies:abindautomapclassclassIntclicolorspaceDBIe1071fansifarverFNNggplot2gluegstatgtableintervalsisobandKernSmoothlabelinglatticelifecyclemagrittrmapdatamapsMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrproj4proxyR6RColorBrewerRcppreshaperlangs2scalessfsftimespspacetimestarstibbleunitsutf8vctrsviridisLitewithrwkxtszoo

Readme and manuals

Help Manual

Help pageTopics
Analysis of Feedback in Time SeriesFeedbackTS-package FeedbackTS
Computation of after-before differences around key daysafter.minus.before
Computation of feedback and change-in-feedback statisticsfeedback.stats
Test of feedback and change-in-feedback for a single time seriesfeedback.test
Build a KDD object from values of slotskdd
Class '"KDD"'KDD KDD class KDD object KDD-class KDD-object names,KDD-method show,KDD-method summary,KDD-method [,KDD-method [<-,KDD,ANY,ANY,ANY-method
Build a KDD object from raw datakdd.from.raw.data
Build a KDD.yearly.average object from a KDD objectkdd.yearly.average
Class '"KDD.yearly.average"'KDD.yearly.average KDD.yearly.average class KDD.yearly.average object KDD.yearly.average-class KDD.yearly.average-object names,KDD.yearly.average-method show,KDD.yearly.average-method summary,KDD.yearly.average-method [,KDD.yearly.average-method
Kriging functionkrige
Test of spatial variation in feedback and change-in-feedbackkrige.test
Class '"KT.output"'KT.output KT.output class KT.output object KT.output-class KT.output-object names,KT.output-method plot,KT.output,ANY-method show,KT.output-method summary,KT.output-method [,KT.output-method [<-,KT.output,ANY,ANY,ANY-method
Mapping of a spatial indexmap.statistic
Statistics of rain feedback in Australiarain.feedback.stats
Rainfall data at Callagiddy stationrain.site.6008