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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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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.