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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.

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
Author: Francois Ritter ORCID iD [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

Documentation:

Reference manual: ctbi.pdf

Downloads:

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

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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