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
Author: Kostas Vasilopoulos ORCID iD [aut, cre]
Maintainer: Kostas Vasilopoulos <k.vasilopoulo at gmail.com>
BugReports: https://github.com/kvasilopoulos/transx/issues
License: GPL-3
URL: https://github.com/kvasilopoulos/transx
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: transx results

Documentation:

Reference manual: transx.pdf
Vignettes: motivation

Downloads:

Package source: transx_0.0.1.tar.gz
Windows binaries: r-devel: transx_0.0.1.zip, r-release: transx_0.0.1.zip, r-oldrel: transx_0.0.1.zip
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

Linking:

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