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
Author:	Christoph Luerig [aut, cre]
Maintainer:	Christoph Luerig <luerig at hochschule-trier.de>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	cowbell results

Documentation:

Reference manual:	cowbell.pdf
Vignettes:	Computes a response surface as segmented linear regression that resembles a cowbell

Downloads:

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

Linking:

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