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 py312-spglm, run the following command in macOS terminal (Applications->Utilities->Terminal)
sudo port install py312-spglm
To see what files were installed by py312-spglm, run:
port contents py312-spglm
To later upgrade py312-spglm, run:
sudo port selfupdate && sudo port upgrade py312-spglm
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