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Timeline for glmer model convergence question

Current License: CC BY-SA 4.0

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May 9 at 8:03 comment added Sextus Empiricus Related Why does my Poisson regression fail? I'm using the R command glm(), x and y are non-negative integers, I'm using a linear link
May 9 at 7:52 comment added Sextus Empiricus .... A problem might be when the model starts estimating the mean and variance as zero, then the weights become infinity. This is a bit similar to logistic regression breaking when there is perfect separation.
May 9 at 7:50 comment added Sextus Empiricus For certain values of the gamma function a support including zero should be ok, like the special case of an exponential distribution. A problem is maybe when the shape parameter is below 1. For a glm, which just models the mean and variance, it should also not matter. If one looks at the glm family object Gamma()[] then there is a stop at the initialisation if any of the values are non-positive. But if you manually remove this then the fitting is not influenced, except only for the case of conputing the AIC which makes a call to dgamma and can lead to infinity....
Jan 31, 2019 at 14:30 review First posts
Jan 31, 2019 at 15:43
Jan 31, 2019 at 14:29 history answered sheen CC BY-SA 4.0