[R] can I do this with R?

[Xiaohui Chen]

step or stepAIC functions do the job. You can opt to use BIC by changing 
the mulplication of penalty.

I think AIC and BIC are not only limited to compare two pre-defined 
models, they can be used as model search criteria. You could enumerate 
the information criteria for all possible models if the size of full 
model is relatively small. But this is not generally scaled to practical 
high-dimensional applications. Hence, it is often only possible to find 
a 'best' model of a local optimum, e.g. measured by AIC/BIC.

On the other way around, I wouldn't like to say the over-penalization of 
BIC. Instead, I think AIC is usually underpenalizing larger models in 
terms of the positive probability of incoperating irrevalent variables 
in linear models.

X

Frank E Harrell Jr 写道:
> Smita Pakhale wrote:
>> Hi Maria,
>>
>> But why do you want to use forwards or backwards
>> methods? These all are 'backward' methods of modeling.
>> Try using AIC or BIC. BIC is much better than AIC.
>> And, you do not have to believe me or any one else on
>> this. 
>
> How does that help? BIC gives too much penalization in certain 
> contexts; both AIC and BIC were designed to compare two pre-specified 
> models. They were not designed to fix problems of stepwise variable 
> selection.
>
> Frank
>
>>
>> Just make a small data set with a few variables with
>> known relationship amongst them. With this simulated
>> data set, use all your modeling methods: backwards,
>> forwards, AIC, BIC etc and then see which one gives
>> you a answer closest to the truth. The beauty of using
>> a simulated dataset is that, you 'know' the truth, as
>> you are the 'creater' of it!
>>
>> smita
>>
>> --- Charilaos Skiadas <cskiadas at gmail.com> wrote:
>>
>>> A google search for "logistic regression with
>>> stepwise forward in r" returns the following post:
>>>
>>>
>> https://stat.ethz.ch/pipermail/r-help/2003-December/043645.html
>>> Haris Skiadas
>>> Department of Mathematics and Computer Science
>>> Hanover College
>>>
>>> On May 28, 2008, at 7:01 AM, Maria wrote:
>>>
>>>> Hello,
>>>> I am just about to install R and was wondering
>>> about a few things.
>>>> I have only worked in Matlab because I wanted to
>>> do a logistic
>>>> regression. However Matlab does not do logistic
>>> regression with
>>>> stepwiseforward method. Therefore I thought about
>>> testing R. So my
>>>> question is
>>>> can I do logistic regression with stepwise forward
>>> in R?
>>>> Thanks /M
>>> ______________________________________________
>>
>