How can I use multi cores processing to run glm function faster

Question

I'm a bit new to r and I would like to use a package that allows multi cores processing in order to run glm function faster.I wonder If there is a syntax that I can use for this matter. Here is an example glm model that I wrote, can I add a parameter that will use multi cores ?

g<-glm(IsChurn~.,data=dat,family='binomial')

Thanks.

Answer 1

I used speedglm and the results are very good: using glm it took me 14.5 seconds to get results and with speedglm it took me 1.5 sec. that a 90% improvement..the code is very simple: m <- speedglm(y ~ s1 + s2,data=df). Just don't forget to install and call the package. Another issue: you can't use all variables with "." the speedglm does not recognize the dot as "all variables".