You don't say why you think that computing these other statistics is responsible
for the run time.
If you just want to fit logistic regressions faster, glm.fit() is likely to be
helpful.
-thomas
On Wed, 17 Jun 2009 ja...@cmi.ac.in wrote:
Hi All,
I am using "glm" function to build logistic regression. I noticed that glm
function glm function is computing many other statistics which are not
required for our analysis. As our dataset is very big and we have to run
logistic regression on several samples the run time drastically increases
if all those statistics are computed. Is these any way to skip computation
in glm function? I am just a beginner of R and hence I am not able to
modify the glm function.
Can anybody give me an alternative way to fit logistic regression which
computes only the estimates(coefficients) of variables.
Waiting for your favourable response.
Regards,
Jagat
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Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.edu University of Washington, Seattle
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