Package: ctbi 2.0.5

ctbi: A Procedure to Clean, Decompose and Aggregate Timeseries

Clean, decompose and aggregate univariate time series following the procedure "Cyclic/trend decomposition using bin interpolation" and the Logbox method for flagging outliers, both detailed in Ritter, F.: Technical note: A procedure to clean, decompose, and aggregate time series, Hydrol. Earth Syst. Sci., 27, 349–361, <doi:10.5194/hess-27-349-2023>, 2023.

Authors:Francois Ritter [cre, aut]

ctbi_2.0.5.tar.gz
ctbi_2.0.5.zip(r-4.7)ctbi_2.0.5.zip(r-4.6)ctbi_2.0.5.zip(r-4.5)
ctbi_2.0.5.tgz(r-4.6-any)ctbi_2.0.5.tgz(r-4.5-any)
ctbi_2.0.5.tar.gz(r-4.7-any)ctbi_2.0.5.tar.gz(r-4.6-any)
ctbi_2.0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ctbi/json (API)
NEWS

# Install 'ctbi' in R:
install.packages('ctbi', repos = c('https://fritte2.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/fritte2/ctbi/issues

On CRAN:

Conda:

3.30 score 4 stars 2 scripts 247 downloads 17 exports 1 dependencies

Last updated from:3ad8721169. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK108
source / vignettesOK116
linux-release-x86_64OK114
macos-release-arm64OK115
macos-oldrel-arm64OK155
windows-develOK66
windows-releaseOK82
windows-oldrelOK66
wasm-releaseOK91

Exports:ctbictbi.cyclectbi.long.termctbi.outlierctbi.plotctbi.timeserieshidd.check.bin.periodhidd.count.NAhidd.count.noNAhidd.madhidd.meanhidd.medianhidd.rel.timehidd.replacehidd.sdhidd.seqhidd.sum

Dependencies:data.table

Readme and manuals

Help Manual

Help pageTopics
ctbictbi
ctbi.cyclectbi.cycle
ctbi.long.termctbi.long.term
ctbi.outlierctbi.outlier
ctbi.plotctbi.plot
ctbi.timeseriesctbi.timeseries
hidd.check.bin.periodhidd.check.bin.period
hidd.count.NAhidd.count.NA
hidd.count.noNAhidd.count.noNA
hidd.madhidd.mad
hidd.meanhidd.mean
hidd.medianhidd.median
hidd.rel.timehidd.rel.time
hidd.replacehidd.replace
hidd.sdhidd.sd
hidd.seqhidd.seq
hidd.sumhidd.sum