ASCL Code Record
[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:
- https://www-astro.physics.ox.ac.uk/~cappellari/software/#loess
- Used in:
- https://ui.adsabs.harvard.edu/abs/2013MNRAS.432.1862C
- Bibcode:
- 2014ascl.soft04011C
Preferred citation method:
Views: 4400
