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Probably second to last issue (I'll be trying tomorrow the batch function). What about including Poisson regression (outcome is a count variable)? That's the third most common form of regression and it's relatively easy to implement: it works just like the linear regression. The main difference is that estimates have to be exponentiated to be interpreted (exp(x)), but that's of no relevance to the cross-validation. Performance is still measured as rmse. An example of poisson tutorial (not using glmer): http://www.ats.ucla.edu/stat/r/dae/poissonreg.htm
The text was updated successfully, but these errors were encountered:
Probably second to last issue (I'll be trying tomorrow the batch function). What about including Poisson regression (outcome is a count variable)? That's the third most common form of regression and it's relatively easy to implement: it works just like the linear regression. The main difference is that estimates have to be exponentiated to be interpreted (exp(x)), but that's of no relevance to the cross-validation. Performance is still measured as rmse. An example of poisson tutorial (not using glmer): http://www.ats.ucla.edu/stat/r/dae/poissonreg.htm
The text was updated successfully, but these errors were encountered: