1) The model is far too complex. I have trouble imagining a system
where the trend potentially uses 49 degrees of freedom and yet the
unexplained variance within years follows an AR(7). It looks like you
have time points within years over many years; is that why you are
trying to use such a complex
... and, I should have added, your maxiter parameters in the call are
set way too high. Lowering them to something more sensible will also
get your error messages faster.
-- Bert
On Fri, Oct 25, 2013 at 6:19 AM, Sylvie Martin wrote:
>
>
> Hello,
>
> I use GAMM function (MGCV package) in R softw
Sylvie:
I do not know whether your system lacks sufficient power, but its user
-- you -- may.
The models you are trying to fit are complex and nonlinear, and
possibly depending on your data -- do you have a lot of missingness?
How large are your data sets? Can they support your models -- you may
Hello,
I use GAMM function (MGCV package) in R software to study relationship between
pollen and pollinosis. My models include autoregressive terms. Here is an
exemple:
CupAR7_2<-gamm(nb_rca_2~s(Trend,bs="ps",k=49) +Semaine
+s(TX03,bs="ps",k=8)
+s(UN03,bs="ps",k=4) ..+polle
4 matches
Mail list logo
