[R-sig-ME] How to use all the cores while running glmer on a piecewise exponential survival with

[Doran, Harold]

One idea, though, is you can take samples from your very large data set and estimate models on the samples very quickly. 

-----Original Message-----
From: R-sig-mixed-models <r-sig-mixed-models-bounces using r-project.org> On Behalf Of Adam Mills-Campisi
Sent: Thursday, August 23, 2018 3:18 PM
To: r-sig-mixed-models using r-project.org
Subject: [R-sig-ME] How to use all the cores while running glmer on a piecewise exponential survival with

I am estimating a piecewise exponential, mixed-effects, survival model with recurrent events. Each individual in the dataset gets an individual interpret (where using a PWP approach). Our full dataset has 10 million individuals, with 180 million events. I am not sure that there is any framework which can accommodate data at that size, so we are going to sample. Our final sample size largely depends on how quickly we can estimate the model, which brings me to my question: Is there a way to mutli-thread/core the model? I tried to find some kind of instruction on the web and the best lead I could find was a reference to this list serve.
Any help would be greatly appreciated.

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