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Provides standardized access to a range of re-scaling methods for numerical vectors and time-series features calculated within the 'theft' ecosystem.
Version: | 0.1.2 |
Depends: | R (≥ 3.5.0) |
Imports: | rlang, stats, dplyr, scales |
Suggests: | knitr, markdown, rmarkdown, pkgdown, testthat (≥ 3.0.0) |
Published: | 2024-02-29 |
DOI: | 10.32614/CRAN.package.normaliseR |
Author: | Trent Henderson [cre, aut] |
Maintainer: | Trent Henderson <then6675 at uni.sydney.edu.au> |
BugReports: | https://github.com/hendersontrent/normaliseR/issues |
License: | MIT + file LICENSE |
URL: | https://hendersontrent.github.io/normaliseR/ |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | normaliseR results |
Reference manual: | normaliseR.pdf |
Vignettes: |
Introduction to normaliseR |
Package source: | normaliseR_0.1.2.tar.gz |
Windows binaries: | r-devel: normaliseR_0.1.2.zip, r-release: normaliseR_0.1.2.zip, r-oldrel: normaliseR_0.1.2.zip |
macOS binaries: | r-release (arm64): normaliseR_0.1.2.tgz, r-oldrel (arm64): normaliseR_0.1.2.tgz, r-release (x86_64): normaliseR_0.1.2.tgz, r-oldrel (x86_64): normaliseR_0.1.2.tgz |
Reverse imports: | theftdlc |
Please use the canonical form https://CRAN.R-project.org/package=normaliseR 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.