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.
Version: | 2.0.5 |
Depends: | R (≥ 4.2.0) |
Imports: | data.table (≥ 1.14.2), stats (≥ 4.1.0), utils (≥ 4.1.0) |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2023-01-20 |
DOI: | 10.32614/CRAN.package.ctbi |
Author: | Francois Ritter [cre, aut] |
Maintainer: | Francois Ritter <ritter.francois at gmail.com> |
License: | GPL-3 |
URL: | https://github.com/fritte2/ctbi |
NeedsCompilation: | no |
Citation: | ctbi citation info |
Materials: | README NEWS |
In views: | TimeSeries |
CRAN checks: | ctbi results |
Reference manual: | ctbi.pdf |
Package source: | ctbi_2.0.5.tar.gz |
Windows binaries: | r-devel: ctbi_2.0.5.zip, r-release: ctbi_2.0.5.zip, r-oldrel: ctbi_2.0.5.zip |
macOS binaries: | r-release (arm64): ctbi_2.0.5.tgz, r-oldrel (arm64): ctbi_2.0.5.tgz, r-release (x86_64): ctbi_2.0.5.tgz, r-oldrel (x86_64): ctbi_2.0.5.tgz |
Old sources: | ctbi archive |
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