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cowbell  

Performs Segmented Linear Regression on Two Independent Variables
View on CRAN: Click here


Download and install cowbell package within the R console
Install from CRAN:
install.packages("cowbell")

Install from Github:
library("remotes")
install_github("cran/cowbell")

Install by package version:
library("remotes")
install_version("cowbell", "0.1.0")



Attach the package and use:
library("cowbell")
Maintained by
Christoph Luerig
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-05-05
Latest Update: 2017-05-05
Description:
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.
How to cite:
Christoph Luerig (2017). cowbell: Performs Segmented Linear Regression on Two Independent Variables. R package version 0.1.0, https://cran.r-project.org/web/packages/cowbell. Accessed 22 Dec. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited cowbell R package
View cowbell citation profile
Other R packages that cowbell depends, imports, suggests or enhances
Complete documentation for cowbell
Functions, R codes and Examples using the cowbell R package
Some associated functions: allFun . cowbell . fitted.cowbell . generateCowbell . generateCowbellConcept . plot.cowbell . predict.cowbell . print.cowbell . print.cowbellConcept . print.summary.cowbell . residuals.cowbell . summary.cowbell . testA . 
Some associated R codes: CowbellAnalyzer.R .  Full cowbell package functions and examples
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