reading elements of cfit

I want to assign the various values returned from fit (cf_) to variables. How do I access the 95% confidence bounds?

e.g.

[cf_, G] = fit(X,Y, etc.);

A = cf_.a; B = cf_.b; etc.

but ? = cf_.a confidence bound.

thanks

kip

Answer 1

[John D'Errico]

Easy enough. Consider the simple model:

x = rand(10,1);
y = rand(10,1);
mdl = fit(x,y,'poly1')

mdl = 
     Linear model Poly1:
     mdl(x) = p1*x + p2
     Coefficients (with 95% confidence bounds):
       p1 =      0.4538  (-0.566, 1.474)
       p2 =      0.2819  (-0.3075, 0.8712)

confint(mdl)

ans = 2×2

-0.5660 -0.3075 1.4737 0.8712

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So as you see, confint produces confidence intervals on the parameters.

If you wanted confidence intervals on a predicted point, here, at x == 0.25...

predint(mdl,0.25)

ans = 1×2

-0.3569 1.1476

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