Hello, I'm working through your vignette using the HFHS-Day1 data and getting the same results. However, the while fitting the sebal and coda-lasso methods both result in multiple warnings reading "glmi.fit: algorithm did not converge" and "glm.fit: fitted probabilities numerically 0 or 1 occurred"
The vignette does not discuss this - is there an issue with because of this result? Are these lack of convergences natural for the multiple model fitting approach, or should I take them as a warning that the final models did not converge?
Hello, I'm working through your vignette using the HFHS-Day1 data and getting the same results. However, the while fitting the sebal and coda-lasso methods both result in multiple warnings reading "glmi.fit: algorithm did not converge" and "glm.fit: fitted probabilities numerically 0 or 1 occurred"
The vignette does not discuss this - is there an issue with because of this result? Are these lack of convergences natural for the multiple model fitting approach, or should I take them as a warning that the final models did not converge?