SParse Generalized Linear Models (spglm) module is an adaptation of a portion of GLM functionality from the Statsmodels package, this it has been simplified and customized for the purposes of serving as the base for several other PySAL modules, namely SpInt and GWR. Currently, it supports the estimation of Gaussian, Poisson, and Logistic regression using only iteratively weighted least squares estimation (IWLS).
SParse Generalized Linear Models (spglm) module is an adaptation of a portion of GLM functionality from the Statsmodels package, this it has been simplified and customized for the purposes of serving as the base for several other PySAL modules, namely SpInt and GWR. Currently, it supports the estimation of Gaussian, Poisson, and Logistic regression using only iteratively weighted least squares estimation (IWLS).
To install py311-spglm, run the following command in macOS terminal (Applications->Utilities->Terminal)
sudo port install py311-spglm
To see what files were installed by py311-spglm, run:
port contents py311-spglm
To later upgrade py311-spglm, run:
sudo port selfupdate && sudo port upgrade py311-spglm
Reporting an issue on MacPorts Trac
The MacPorts Project uses a system called Trac to file tickets to report bugs and enhancement requests.
Though anyone may search Trac for tickets, you must have a GitHub account in order to login to Trac to create tickets.