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ctbi
View on CRAN: Click
here
Download and install ctbi package within the R console
Install from CRAN:
install.packages("ctbi")
Install from Github:
library("remotes")
install_github("cran/ctbi") Install by package version:
library("remotes")
install_version("ctbi", "2.0.5") Attach the package and use:
library("ctbi")
Maintained by
Francois Ritter
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-09
Latest Update: 2023-01-20
Description:
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
How to cite:
Francois Ritter (2022). ctbi: A Procedure to Clean, Decompose and Aggregate Timeseries. R package version 2.0.5, https://cran.r-project.org/web/packages/ctbi. Accessed 26 Oct. 2026.
Previous versions and publish date:
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Other R packages that ctbi depends,
imports, suggests or enhances
Complete documentation for ctbi
Functions, R codes and Examples using
the ctbi R package
Some associated functions: ctbi.cycle . ctbi.long.term . ctbi . ctbi.outlier . ctbi.plot . ctbi.timeseries . hidd.check.bin.period . hidd.count.NA . hidd.count.noNA . hidd.mad . hidd.mean . hidd.median . hidd.rel.time . hidd.replace . hidd.sd . hidd.seq . hidd.sum .
Some associated R codes: ctbi.R . ctbi.cycle.R . ctbi.long.term.R . ctbi.outlier.R . ctbi.plot.R . ctbi.timeseries.R . hidd.check.bin.period.R . hidd.count.NA.R . hidd.count.noNA.R . hidd.mad.R . hidd.mean.R . hidd.median.R . hidd.rel.time.R . hidd.replace.R . hidd.sd.R . hidd.seq.R . hidd.sum.R . Full ctbi package functions and examples
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