Re: [R] glm binomial logit

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

Re: [R] glm binomial logit

On Jun 17, 2009, at 1:45 AM, 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 re

[R] glm binomial logit

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 increas

[R] glm binomial logit - removing extra computations

Hi all, I am using glm function with family binomial(logit) to fit logistic regression model. My data is very big and the algorithm is such that it has to run glm function hundreds of times. Now *I need only the **estimates of the coefficients and std. error in my output, *but apparently glm