cowbell: Performs Segmented Linear Regression on Two Independent Variables

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>
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:, r-release:, r-oldrel:
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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