Passing extra arguments to `nlinfit` function
5 views (last 30 days)
Show older comments
I am in interested in passing extra arguments to nlinfit function in Matlab
beta = nlinfit(X,Y,modelfun,beta0)
and let the modelfun is
function y = modelfun(beta, c, X)
y = beta(1)*x.^(beta2) + c;
My interest is to estimate beta and also to provide c externally. X and Y have their obvious meanings.
Can it be done?
0 Comments
Accepted Answer
Star Strider
on 19 Jul 2018
Your function must have your parameter vector as the first argument, your independent variable as the second argument, and any added parameters after that.
Try this:
Beta = nlinfit(X,Y,@(beta,X)modelfun(beta, c, X),beta0)
2 Comments
More Answers (0)
See Also
Categories
Find more on Statistics and Machine Learning Toolbox in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!