Implements a specific form of segmented linear regression with two independent variables. The visualization of that function looks like a quarter segment of a cowbell giving the package its name. The package has been specifically constructed for the case where minimum and maximum value of the dependent and two independent variables are known a prior, which is usually the case when those values are derived from Likert scales.
Version: | 0.1.0 |
Depends: | R (≥ 3.3.0) |
Imports: | ggplot2, rgl, grDevices, misc3d |
Suggests: | knitr, rmarkdown, testthat |
Published: | 2017-05-05 |
DOI: | 10.32614/CRAN.package.cowbell |
Author: | Christoph Luerig [aut, cre] |
Maintainer: | Christoph Luerig <luerig at hochschule-trier.de> |
License: | GPL-3 |
NeedsCompilation: | no |
CRAN checks: | cowbell results |
Reference manual: | cowbell.pdf |
Vignettes: |
Computes a response surface as segmented linear regression that resembles a cowbell |
Package source: | cowbell_0.1.0.tar.gz |
Windows binaries: | r-devel: cowbell_0.1.0.zip, r-release: cowbell_0.1.0.zip, r-oldrel: cowbell_0.1.0.zip |
macOS binaries: | r-release (arm64): cowbell_0.1.0.tgz, r-oldrel (arm64): cowbell_0.1.0.tgz, r-release (x86_64): cowbell_0.1.0.tgz, r-oldrel (x86_64): cowbell_0.1.0.tgz |
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