I have been trying to generate generalized additive models (GAM) in R. For some reason, my commands are not working. For instance, a command such as fit
A well documented package for GAMs seems to be mgcv.
typical use, taken from the documentation for 'gam':
================= Code =================
install.packages(mgcv) # install the package, if it is not already installed
library(mgcv) # load the package
set.seed(2) ## simulate some data...
dat
A well documented package for GAMs seems to be mgcv.
typical use, taken from the documentation for 'gam':
================= Code =================
install.packages(mgcv) # install the package, if it is not already installed
library(mgcv) # load the package
set.seed(2) ## simulate some data...
dat
Thanks Thomas. These are useful hints. I will get back to you with any further queries I may have.
And if you are looking for other software packages, Stata has a user-written program aptly named gam (from within Stata type: ssc install gam)
another possibly useful R package is VGAM (Vector Generalized Additive Models, with gam as special case). Very flexible and quite well documented if I recall.
I am able to bind my data and run the GAM script now. However, I need to write out the full equation in terms of the smoothing splines or functions. Each spline has an intercept and 9 coefficients which I can get by the command coeff(out). But, how do I write the entire model out as an equation, as I need to insert this model in another piece of code that will do prediction. And that code is in C#, so it cannot use the gam object.
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