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[ascl:1404.011] CAP_LOESS_1D & CAP_LOESS_2D: Recover mean trends from noisy data

CAP_LOESS_1D and CAP_LOESS_2D provide improved implementations of the one-dimensional (Clevelend 1979) and two-dimensional (Cleveland & Devlin 1988) Locally Weighted Regression (LOESS) methods to recover the mean trends of the population from noisy data in one or two dimensions. They include a robust approach to deal with outliers (bad data). The software is available in both IDL and Python versions.

Code site:
http://www-astro.physics.ox.ac.uk/~mxc/software/#loess
Used in:
http://adsabs.harvard.edu/abs/2013MNRAS.432.1862C
Bibcode:
2014ascl.soft04011C

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ascl:1404.011
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