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:
ctbi_2.0.5.tar.gz
ctbi_2.0.5.zip(r-4.5)ctbi_2.0.5.zip(r-4.4)ctbi_2.0.5.zip(r-4.3)
ctbi_2.0.5.tgz(r-4.4-any)ctbi_2.0.5.tgz(r-4.3-any)
ctbi_2.0.5.tar.gz(r-4.5-noble)ctbi_2.0.5.tar.gz(r-4.4-noble)
ctbi_2.0.5.tgz(r-4.4-emscripten)ctbi_2.0.5.tgz(r-4.3-emscripten)
ctbi.pdf |ctbi.html✨
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
Last updated 2 years agofrom:3ad8721169. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 10 2024 |
R-4.5-win | OK | Nov 10 2024 |
R-4.5-linux | OK | Nov 10 2024 |
R-4.4-win | OK | Nov 10 2024 |
R-4.4-mac | OK | Nov 10 2024 |
R-4.3-win | OK | Nov 10 2024 |
R-4.3-mac | OK | Nov 10 2024 |
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 page | Topics |
---|---|
ctbi | ctbi |
ctbi.cycle | ctbi.cycle |
ctbi.long.term | ctbi.long.term |
ctbi.outlier | ctbi.outlier |
ctbi.plot | ctbi.plot |
ctbi.timeseries | ctbi.timeseries |
hidd.check.bin.period | hidd.check.bin.period |
hidd.count.NA | hidd.count.NA |
hidd.count.noNA | hidd.count.noNA |
hidd.mad | hidd.mad |
hidd.mean | hidd.mean |
hidd.median | hidd.median |
hidd.rel.time | hidd.rel.time |
hidd.replace | hidd.replace |
hidd.sd | hidd.sd |
hidd.seq | hidd.seq |
hidd.sum | hidd.sum |