DTSg: A Class for Working with Time Series Data Based on 'data.table' and 'R6' with Largely Optional Reference Semantics

Basic time series functionalities such as listing of missing values, application of arbitrary aggregation as well as rolling (asymmetric) window functions and automatic detection of periodicity. As it is mainly based on 'data.table', it is fast and (in combination with the 'R6' package) offers reference semantics. In addition to its native R6 interface, it provides an S3 interface for those who prefer the latter. Finally yet importantly, its functional approach allows for incorporating functionalities from many other packages.

Version: 1.1.3
Depends: R (≥ 3.2.0)
Imports: checkmate, data.table, methods, R6
Suggests: dygraphs, fasttime, knitr, magrittr, RColorBrewer, RcppCCTZ, rmarkdown, runner (≥ 0.3.5), tinytest, units
Published: 2023-09-27
Author: Gerold Hepp [aut, cre]
Maintainer: Gerold Hepp <gisler at hepp.cc>
BugReports: https://github.com/gisler/DTSg/issues
License: MIT + file LICENSE
URL: https://gisler.github.io/DTSg/
NeedsCompilation: no
Language: en-GB
Materials: README NEWS
In views: MissingData, TimeSeries
CRAN checks: DTSg results

Documentation:

Reference manual: DTSg.pdf
Vignettes: A. Basic usage
B. Advanced usage

Downloads:

Package source: DTSg_1.1.3.tar.gz
Windows binaries: r-devel: DTSg_1.1.3.zip, r-release: DTSg_1.1.3.zip, r-oldrel: DTSg_1.1.3.zip
macOS binaries: r-release (arm64): DTSg_1.1.3.tgz, r-oldrel (arm64): DTSg_1.1.3.tgz, r-release (x86_64): DTSg_1.1.3.tgz
Old sources: DTSg archive

Linking:

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