Perfect! This might be a good example to add to the documentation of mgcv
somewhere
Thanks.
Mark
On Thu, 8 Nov 2018 at 22:08, Simon Wood wrote:
> This first derivative penalty spline will do it, but the price paid is
> that the curves are often quite wiggly.
>
>
> library(mgcv);
This first derivative penalty spline will do it, but the price paid is
that the curves are often quite wiggly.
library(mgcv); set.seed(5)
x <- runif(100); y <- x^4 + rnorm(100)*.1
b <- gam(y~s(x,m=1))
pd <- data.frame(x=seq(-.5,1.5,length=200))
ff <- predict(b,pd,se=TRUE)
Dear R-help,
I have a problem where I am using the mgcv package to in a situation where
I am fitting a gam model with a 1-D spline smoother model over a domain
[a,b] but then need to make predictions and extrapolate beyond b. Is there
anyway where I force the first derivative of the spline to be
3 matches
Mail list logo
