Mercurial > repos > vipints > rdiff
view rDiff/src/locfit/m/kappa0.m @ 2:233c30f91d66
updated python based GFF parsing module which will handle GTF/GFF/GFF3 file types
author | vipints <vipin@cbio.mskcc.org> |
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date | Tue, 08 Oct 2013 07:15:44 -0400 |
parents | 0f80a5141704 |
children |
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function kap=kappa0(x,y,varargin) % Compute the constants for `tube-formula' based simultaneous % confidence bands. % % Works for regression models only. Density estimation problems % should be converted to counts, and use poisson regression % 'family','poisson'. % % Essentially, this is a front-end to locfit, and so all optional % arguments to locfit (eg, smoothing parameters) can be provided. % % To compute (or plot) the confidence bands, provide the output % of the kappa0() function as the 'kappa' argument to a % predict() or lfband() call. % % % Example: % % load ethanol; % fit = locfit(E,NOx,'alpha',0.5) % kap = kappa0(E,NOx,'alpha',0.5) % give same arguments! % lfplot(fit) % lfband(fit,'kappa',kap) % plot the simultaneous bands % z = predict(fit,[0.6 0.7 0.8]','kappa',kap,'band','g') % z{3} % evaluate the bands. fit = locfit(x,y,'module','kappa','ev','grid','mg',20,varargin{:}); z = fit.fit_points.kappa; d = size(fit.data.x,2); kap = z(1:(d+1)); return;