NAME
Math::LOESS - Perl wrapper of the Locally-Weighted Regression package originally written by Cleveland, et al.
SYNOPSIS
use Math::LOESS;
my $loess = Math::LOESS->new(x => $x, y => $y);
$loess->fit();
my $fitted_values = $loess->outputs->fitted_values;
my $prediction = $loess->predict($new_data, 1);
my $confidence_intervals = $prediction->confidence(0.05);
print $confidence_internals->{fit};
print $confidence_internals->{upper};
print $confidence_internals->{lower};CONSTRUCTION
new(Piddle1D :$x, Piddle1D :$y, Piddle1D :$weights=undef,
Num :$span=0.75)ATTRIBUTES
model
Get an Math::LOESS::Model object.
outputs
Get an Math::LOESS::Outputs object.
x
Get input x data as a piddle.
y
Get input y data as a piddle.
weights
Get input weights data as a piddle.
activated
Returns a true value if the object's fit() method has been called.
METHODS
fit
fit()predict
predict(Piddle1D $newdata, Bool $stderr=false)Returns a Math:LOESS::Prediction object.