> Hello,
> I'm writing my Master Thesis. I'm using the R library "splines" and i want
> to cite it correctly.
> I have found the following documentation:
> http://127.0.0.1:20742/library/splines/html/splines-package.html
Christof, if you contact the authors of the package, or look on their
website
> Think you're going to have to explicitly define "hand tailor." I
> haven't a clue what you mean. (Someone else might of course).
Ah, I want to set a specific coefficient value for each of the terms
rather than rely on training. Thus given:
y ~ x0 + x1 + x2 + a
I would like to set:
a =
Greetings, I'm working on a project where I want to hand-tailor an lm.
Specifically I want to construct an lm with an existing formula and then
hand tailor the coefficients myself. Is there an established method for
that other than manipulating the $coefficients values?
Thank you,
Colli
Hi Viarti, can you clarify your question slightly?
(1) When you say "the predict value still on pattern scale" what do you
mean? It sounds like you are saying that the prediction values are on the
Ytraining values specifically or do you mean that you expect the scale to
differ.
(2) When you say ho
>>> The default functional link for mgcv::gam is "log", so I doubt that
>> your theoretical understanding applies to GAM's in general. When Simon
>> Wood wrote his book on GAMs his first chapter was on linear models, his
>> second chapter was on generalized lienar models at which point he had
>> wr
Thank you Simon that's quite helpful! I'll compare that with the GLMSS
models.
Best,
Collin.
>
>> (1) Am I correct in understanding that Heteroscedasticity is a problem
>> for
>> Generalized Additive Models as it is for standard linear models? I am
>> asking particularly about t
> On Tue, 29 Oct 2013, Erin Hodgess wrote:
>
>> I'm on a Centos 5 Red Hat system and I'm trying to install such packages
>> as
>> Cairo, Rserve, etc.
>> However, I keep getting an error: sh:/bin/sh bad interpreter.
Erin, just to add to what Rich wrote, this may be a disk related result as
well.
>
> Am 23.09.2008 um 23:57 schrieb Peter Dalgaard:
>
>> For this kind of problem I'd go directly for the binomial
>> distribution. If the actual probability is 0, this is essentially
>> deterministic and you can look at
>>
>> > binom.test(0,99,p=.03, alt="less")
>>
>
> > This means that you don't
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