transx: Transform Univariate Time Series

Univariate time series operations that follow an opinionated design. The main principle of 'transx' is to keep the number of observations the same. Operations that reduce this number have to fill the observations gap.

Version: 0.0.1
Depends: R (≥ 2.10)
Imports: rlang
Suggests: dplyr, ggplot2, cli, testthat, knitr, DescTools, outliers, rmarkdown, mFilter, covr
Published: 2020-11-27
DOI: 10.32614/CRAN.package.transx
Author: Kostas Vasilopoulos ORCID iD [aut, cre]
Maintainer: Kostas Vasilopoulos <k.vasilopoulo at>
License: GPL-3
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: transx results


Reference manual: transx.pdf
Vignettes: motivation


Package source: transx_0.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): transx_0.0.1.tgz, r-oldrel (arm64): transx_0.0.1.tgz, r-release (x86_64): transx_0.0.1.tgz, r-oldrel (x86_64): transx_0.0.1.tgz


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