Description Author(s) References Examples
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.
Matias Salibian-Barrera and Davor Cubranic.
Maintainer: Davor Cubranic <cubranic@stat.ubc.ca>
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.
1 | ## see examples for rgam and ili.visits.
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