Nothing
A robust backfitting algorithm for additive models based on (robust) local polynomial kernel smoothers. It includes both bounded and re-descending (kernel) M-estimators, and it computes predictions for points outside the training set if desired. See Boente, Martinez and Salibian-Barrera (2017) <doi:10.1080/10485252.2017.1369077> and Martinez and Salibian-Barrera (2021) <doi:10.21105/joss.02992> for details.
Package details |
|
---|---|
Author | Matias Salibian-Barrera [aut, cre], Alejandra Martinez [aut] |
Maintainer | Matias Salibian-Barrera <matias@stat.ubc.ca> |
License | GPL (>= 3.0) |
Version | 2.1.1 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.