What did I do this week?
This week I was able to make changes to the existing functions within the MGWR functionality to accommodate changing the family of the dependent variable to Poisson. The results for a univariate model check using a data-set from the repository gave expected results very similar (difference to the order of 1e-06, which was deemed acceptable in the model) to the already existing Poisson GWR model. The proposed model changes and checks with the existing functions are also provided in a notebook within this open pull request (https://github.com/pysal/mgwr/pull/56).
What is coming up next?
In the coming week I will work on testing this model with simulated data to better enhance understanding of the model performance with multiple variables. Adding on to this, implementation of the MGWR model with logit dependent variables will be implemented and tested this week.
Did I get stuck anywhere?
No major issues were encountered in implementing the Poisson model functions this week. The results were as expected and promising for further development.
Looking forward to the progress update next week!