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normaliseR: Re-Scale Vectors and Time-Series Features

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

Documentation:

Reference manual: normaliseR.pdf
Vignettes: Introduction to normaliseR

Downloads:

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 dependencies:

Reverse imports: theftdlc

Linking:

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.