ental variable (the result of fitting y against all of the
instruments). So how does R know that yd should be replace by (z -
y.1) unless yd carries some information that it was originally created
as (y - y.1).
Maybe this question is best asked on the devel list?
Cheers,
Skipper
> Reg
Hello all,
I hope this question is appropriate for this ML.
Basically, I am wondering if when you create a new variable, if the
variable holds some information about how it was created.
Let me explain, I have the following code to replicate an example in a
textbook (Greene's Econometric Analysis
On Sat, Jul 18, 2009 at 6:28 PM, Duncan Murdoch wrote:
> On 18/07/2009 6:06 PM, Skipper Seabold wrote:
>>
>> Hello,
>>
>> I saw that this question has been asked here before but couldn't find
>> an answer. Are the raw datasets in R in the public domain? M
Hello,
I saw that this question has been asked here before but couldn't find
an answer. Are the raw datasets in R in the public domain? Most are
based on quite old "classic" published results, so I would then assume
that the raw data is public domain rather than GPL. Can anyone answer
this defi
On Wed, Jul 15, 2009 at 8:45 PM, Ben Bolker wrote:
>
>
>
> jseabold wrote:
>>
>> Hello all,
>>
>> I was wondering if someone can enlighten me as to the difference
>> between the logLik in R vis-a-vis Stata for a GLM model with the gamma
>> family.
>>
>> Stata calculates the loglikelihood of the mod
Hello all,
I was wondering if someone can enlighten me as to the difference
between the logLik in R vis-a-vis Stata for a GLM model with the gamma
family.
Stata calculates the loglikelihood of the model as (in R notation)
some equivalent function of
-1/scale * sum(Y/mu+log(mu)+(scale-1)*log(Y)+l
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