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How to obtain confidence level and coefficient of determination?

12 vues (au cours des 30 derniers jours)
Fabian Moreno
Fabian Moreno le 7 Juil 2021
Commenté : Fabian Moreno le 8 Juil 2021
Hello, I am comparing two regression models (linear fit and theil-sen). In the linear fit I can get confidence level (CI=95%) of the slop and intersection, and coefficient of determination (R2). But I don't know how to get the CI and R2 for theil sen model. I appreciate any help. Here is my code.
%Option MRL
mdl = fitlm(x, y,'linear','Intercept',true,'RobustOpts','on'); % Fit Data
B = mdl.Coefficients.Estimate;
B=[B(2) B(1)];% Coefficients
y_robus = polyval(B,x(:,1));
R1=sqrt(mdl.Rsquared.Adjusted);
% Confidence intervals
CI = coefCI(mdl,0.05);
%Option Theil-Sen
[r1,pval1]=corr(x,y,'Type','Kendall');
[s1, b1] = tsreg(x,y);
S1 =[s1 b1];
y_Theil1=polyval(S1,x);
% Confidence intervals
CI =

Réponse acceptée

the cyclist
the cyclist le 8 Juil 2021
Modifié(e) : the cyclist le 8 Juil 2021
tsreg is not a MathWorks function. Are you using this code from the File Exchange?
Obviously, the author of that code has not provide any additional functionality beyond calculating the slope and intercept. You could post a comment and ask your question there.
The wikipedia page for the Theil-Sen method briefly discusses how to calculate the confidence interval, using resampling. Perhaps that will be helpful.

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