Two-phase linear regression model

calculates the parameters of unidimensional two-phase linear regression model


Updated 25 Feb 2017

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x - vector row with 'x' values
y - vector row with 'y' values
r - expected 'x'-coordinate of break point
if r is empty it is calculated during
the optimisation
p - if p is equal to 1 the fit is plotted
th - estimated paremeters of the regression
y_1 = th(1) + th(2) * x
y_2 = th(3) + th(4) * x
r - the estimated break point
SSR - Sum of Squares of the Residuals
SSM - Sum of Squares due to the Model
R^2 can be calculated as RRM/(SSM + SSR)
res - vector of residuals

Cite As

Dimitar Atanasov (2023). Two-phase linear regression model (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R14
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes

Fixed to use fminsearch instead fmins