ocation - i.e. to impose a constraint like f(t_0) = b).
>
> For 2) try 'model.matrix', or 'predict.gam' with argument
> 'type="lpmatrix"' (see ?predict.gam)
>
>
> On 23/03/13 01:05, Antonio P. Ramos wrote:
>
>> Hi all,
>>
Thanks!
On Mon, Mar 25, 2013 at 6:25 PM, Joshua Wiley wrote:
> Yep that's exactly right! :)
>
> On Mon, Mar 25, 2013 at 6:22 PM, Antonio P. Ramos
> wrote:
> > Just to clarify: I should include wealth - the categorical variable - as
> a
> > fixed effects *
should include the main effect in
> the model, as the smooths will be centered.
>
> Cheers,
>
> Josh
>
>
>
> On Mon, Mar 25, 2013 at 6:09 PM, Antonio P. Ramos
> wrote:
> > Hi all,
> >
> > I am not sure how to handle interactions with categorical pr
Just to clarify: gam.1 has wealth inside the smooths and as a fixed effect
predictor while gam.2 only have wealth inside the smooths. Thanks
On Mon, Mar 25, 2013 at 6:09 PM, Antonio P. Ramos <
ramos.grad.stud...@gmail.com> wrote:
> Hi all,
>
> I am not sure how to handle in
Hi all,
I am not sure how to handle interactions with categorical predictors in the
GAM models. For example what is the different between these bellow two
models. Tests are indicating that they are different but their predictions
are essentially the same.
Thanks a bunch,
> gam.1 <- gam(mortality
Hi all,
I am using GAM to model time trends in a logistic regression. Yet I would
like to extract the the fitted spline from it to add it to another model,
that cannot be fitted in GAM or GAMM.
Thus I have 2 questions:
1) How can I fit a smoother over time so that I force one knot to be at a
par
Hi all,
I'm trying to run some monte carlo simulation for my roll call data
using the ideal() function, which resides in the pscl package.
However, I'm receiving an error message that I don't understand.
Error in ideal(a, maxiter = 1000, thin = 10, burnin = 50, store.item = TRUE, :
NA/NaN/Inf
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