DTSg: A Class for Working with Time Series 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 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 inclusive an S3 wrapper method generator for those who prefer the latter.

Version: 0.1.2
Depends: R (≥ 3.2.0)
Imports: assertive.base, assertive.numbers, assertive.sets, assertive.types, data.table, methods, R6
Suggests: dygraphs, fasttime, knitr, magrittr, RColorBrewer, rmarkdown, testthat, xts
Published: 2019-03-13
Author: Gerold Hepp [aut, cre]
Maintainer: Gerold Hepp <ghepp at iwag.tuwien.ac.at>
BugReports: https://github.com/gisler/DTSg/issues
License: MIT + file LICENSE
URL: https://github.com/gisler/DTSg
NeedsCompilation: no
Materials: README NEWS
CRAN checks: DTSg results


Reference manual: DTSg.pdf
Vignettes: B. Advanced Usage
A. Basic Usage
Package source: DTSg_0.1.2.tar.gz
Windows binaries: r-devel: DTSg_0.1.2.zip, r-release: DTSg_0.1.2.zip, r-oldrel: DTSg_0.1.2.zip
OS X binaries: r-release: DTSg_0.1.2.tgz, r-oldrel: DTSg_0.1.2.tgz


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