rgam-package: Package 'rgam'
In rgam: Robust Generalized Additive Model
Description
Author(s)
References
Examples
Description
The rgam package is an implementation of algorithms for outlier-robust
fit for Generalized Additive Models described in Azadeh and
Salibian-Barrera (2011). It has one entry function,
rgam. For more details refer to the relevant help files.
Author(s)
Matias Salibian-Barrera and Davor Cubranic.
Maintainer: Davor Cubranic <cubranic@stat.ubc.ca>
References
Azadeh, A. and Salibian-Barrera, M. (2012).
An outlier-robust fit for Generalized Additive Models with
applications to disease outbreak detection.
Journal of the American Statistical Association. 106(494): 719-731.
Examples
1
## see examples for rgam and ili.visits.
rgam documentation built on May 2, 2019, 11:26 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Author(s) References Examples
Description
The rgam package is an implementation of algorithms for outlier-robust
fit for Generalized Additive Models described in Azadeh and
Salibian-Barrera (2011). It has one entry function,
rgam. For more details refer to the relevant help files.
Author(s)
Matias Salibian-Barrera and Davor Cubranic.
Maintainer: Davor Cubranic <cubranic@stat.ubc.ca>
References
Azadeh, A. and Salibian-Barrera, M. (2012). An outlier-robust fit for Generalized Additive Models with applications to disease outbreak detection. Journal of the American Statistical Association. 106(494): 719-731.
Examples
1 | ## see examples for rgam and ili.visits.
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.