R-users
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Murdoch>You may have a binary install of the package; you need the source.
Look
Murdoch>in http://cran.r-project.org/src/contrib/gam_0.98.tar.gz, files
Murdoch>gam/src/backfit.f and gam/src/backlo.f
Thank you very much.
I obtained the source codes of backfi
On 24/12/2007 6:59 PM, Kunio takezawa wrote:
> R-users
> E-mail: r-help@r-project.org
>
>>> I found the answer myself.
>>> '.Fortran("baklo",' in lo.wam() and .Fortran("bakfit",in
>>> s.wam() may carry out backfitting. But I cannot
>>> create an R code which gives the same results as those of
>
R-users
E-mail: r-help@r-project.org
>> I found the answer myself.
>> '.Fortran("baklo",' in lo.wam() and .Fortran("bakfit",in
>> s.wam() may carry out backfitting. But I cannot
>> create an R code which gives the same results as those of
>> "bakfit". If someone knows the detail of "bakfit" alg
On Thu, 20 Dec 2007, Kunio takezawa wrote:
> R-users
> E-mail: r-help@r-project.org
>
> I found the answer myself.
> '.Fortran("baklo",' in lo.wam() and .Fortran("bakfit",in
> s.wam() may carry out backfitting. But I cannot
> create an R code which gives the same results as those of
> "bakfit".
R-users
E-mail: r-help@r-project.org
I found the answer myself.
'.Fortran("baklo",' in lo.wam() and .Fortran("bakfit",in
s.wam() may carry out backfitting. But I cannot
create an R code which gives the same results as those of
"bakfit". If someone knows the detail of "bakfit" algorithm,
pleas
R-users
E-mail: r-help@r-project.org
> This iteration seems to be for "iteratively reweighted least squares" not
>for backfitting. And lm.wfit may solve multiple linear equation using
>QR decomposition; but I am not sure.
Let me tell you something about my guess above.
The iteration below is f
R-users
E-mail: r-help@r-project.org
>Please don't ask the same question multiple times!
I am really sorry about it. I thought that my first mail did not
work.
>And no, backfitting and QR are unrelated concepts. You need to read up
>on the theory,
To derive an additive model, we have two
R-users
E-mail: r-help@r-project.org
I have a quenstion on "gam()" in "gam" package.
The help of gam() says:
'gam' uses the _backfitting
algorithm_ to combine different smoothing or fitting methods.
On the other hand, lm.wfit(), which is a routine of gam.fit() contains:
z
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