Performs Segmented Linear Regression on Two Independent Variables
Computes a response surface as segmented linear regression that resemb...
Implementation of the fitted generic.
Performs the segmented linear regression analysis generating the cowbe...
Expresses the fitting formula and the value range of the variables.
Plots the obtained cowbell function.
Performs a prediction on the cowbell model that has been generated.
Summarizes the cowbell regression analysis
Summarizes the cowbell concept with the formula and value ranges.
Prints the summary obtained by summary.cowbell.
Implementation of the residuals generic.
Generates the core information of the cowbell analysis.
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.