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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 [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 |
Reference manual: | transx.pdf |
Vignettes: |
motivation |
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, r-oldrel (x86_64): transx_0.0.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=transx to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.