Hi, I'm trying to run a GAM regression in mgcv with:
1. My own knots(which I learned to do here
https://stat.ethz.ch/pipermail/r-help/2012-December/342723.html)
2. One of the cubic splines is defined as monotonic increasing

This post(r.789695.n4.nabble.com/Monotone-splines-td833854.html) suggests
using mono.con, but that's run after the call to the gam function so it
doesn't return me a gam object(
http://127.0.0.1:11821/library/mgcv/html/gamObject.html) with all the
detailed summary that I need

I see there is a package scam(
http://cran.r-project.org/web/packages/scam/index.html) that returns a gam
object and conveniently lets me define a spline with monotonicity
constraints(bs = "mpi" or bs = "mpd") BUT the scam function doesn't have an
optional knots parameter like gam does.

Any suggestions how I can run a regression with both of these things and
get a gam object?

Thanks,

Nadav

	[[alternative HTML version deleted]]

