R: Performs Segmented Linear Regression on Two Independent Variables

# Performs Segmented Linear Regression on Two Independent Variables

## Documentation for package ‘cowbell’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

cowbell-package | Computes a response surface as segmented linear regression that resembles a cowbell.
allFun | allFun: Data set for Fluency, Absorption, Fit and Fun.
cowbell | Computes a response surface as segmented linear regression that resembles a cowbell.
fitted.cowbell | Implementation of the 'fitted' generic.
generateCowbell | Performs the segmented linear regression analysis generating the cowbell function.
generateCowbellConcept | Expresses the fitting formula and the value range of the variables.
plot.cowbell | Plots the obtained cowbell function.
predict.cowbell | Performs a prediction on the cowbell model that has been generated.
print.cowbell | Summarizes the cowbell regression analysis
print.cowbellConcept | Summarizes the cowbell concept with the formula and value ranges.
print.summary.cowbell | Prints the summary obtained by 'summary.cowbell'.
residuals.cowbell | Implementation of the 'residuals' generic.
summary.cowbell | Generates the core information of the cowbell analysis.
testA | testA: Artificial data set for testing.