NAME
Math::LOESS::Model - Math::LOESS model configurations
VERSION
version 0.001000
DESCRIPTION
You normally don't need to construct object of this class yourself. Instead you get the object from an Math::LOESS object.
NAME
Math::LOESS::Model - Math::LOESS model configurations
VERSION
version 0.0000_02
ATTRIBUTES
span
The parameter controls the degree of smoothing. Default is 0.75.
For span < 1, the neighbourhood used for the fit includes proportion span of the points, and these have tricubic weighting (proportional to (1 - (dist/maxdist)^3)^3). For span > 1, all points are used, with the "maximum distance" assumed to be span^(1/p) times the actual maximum distance for p explanatory variables.
degree
The degree of the polynomials to be used, normally 1 or 2. Default is 2.
parametric
Should any terms be fitted globally rather than locally? Default is false. Terms can be specified by name, number or as a logical vector of the same length as the number of predictors.
drop_square
For fits with more than one predictor and degree = 2, should the quadratic term be dropped for particular predictors? Default is false. Terms are specified in the same way as for parametric.
normalize
Should the predictors be normalized to a common scale if there is more than one? The normalization used is to set the 10% trimmed standard deviation to one. Set to false for spatial coordinate predictors and others known to be on a common scale.
family
If "gaussian" fitting is by least-squares, and if "symmetric" a re-descending M estimator is used with Tukey's biweight function.
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.
AUTHOR
Stephan Loyd <sloyd@cpan.org>
COPYRIGHT AND LICENSE
This software is copyright (c) 2019-2023 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.