I want to do this model using mgcv
caco1.gam-gam(caco1$Pa~s(caco1$T10)+s(caco1$S10)+s(caco1$C10), data=caco1)
But I want to indicate the degrees of freedom of each term, how I have to do
it?
Then, I saw that always the results refered to positive interactions, there
are not negative ones?
I think it will be better if I explained what I want to do.
I have the abundance of Penilia (zooplankter) as y and I have the
temperature, salinity and chlorophyll concentration at different depths. I
want to know which how the abundance of Penilia is modulate by those
environmetal variables and
I think it will be better if I explained what I want to do.
I have the abundance of Penilia (zooplankter) as y and I have the
temperature, salinity and chlorophyll concentration at different depths. I
want to know which how the abundance of Penilia is modulate by those
environmetal variables and
1) I have a semiparametric model, like
*Y~x1+s(x2)+s(x3)*
When I rum gam package I only obtained the estimates and the statistics of
the nonparametric part. How can I get the parametric part? Please could you
give me the complete comand to do it.
2) How are the negative coefficients identified. I
I have to evaluate how 4 different environmental variables could be use to
explain the variability on the abundance of an specific species of
zooplankton. I know that Generalized additive models are useful tools to
evaluate this kind of relationships.
1) I want to know the difference to use the
