NAME
Math::LOESS::Prediction - Math::LOESS prediction and confidence intervals
VERSION
version 0.0001
DESCRIPTION
You normally don't need to construct object of this class yourself. Instead you get the object from an Math::LOESS object after its fit() method is called.
ATTRIBUTES
values
loess values evaluated at newdata.
stderr
Estimates of the standard error on the estimated values.
residual_scale
Estimate of the scale of the residuals.
df
Degrees of freedom of the loess fit.
It is used with the t-distribution to compute pointwise confidence intervals for the evaluated surface. It is obtained using the formula (one_delta ** 2) / two_delta
METHODS
confidence
confidence($alpha=0.01)Returns the confidence intervals for predicted values, as a hashref of { fit => $fit, upper => $upper, lower => $lower }, where $fit, $upper, $lower are piddles.
SEE ALSO
AUTHOR
Stephan Loyd <sloyd@cpan.org>
COPYRIGHT AND LICENSE
This software is copyright (c) 2019 by Stephan Loyd.
This is free software; you can redistribute it and/or modify it under the same terms as the Perl 5 programming language system itself.