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SParse Generalized Linear Models (spglm)

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).

Version: 1.1.0 License: BSD GitHub
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22 build(s) found
Builder Build Number Start Time Elapsed Time Watcher Build Status
11 132392 2023-11-02 23:30:20 0:02:10 38936 build successful
10.15 161320 2023-11-02 23:30:04 0:01:50 49013 build successful
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10.6.x86_64 176906 2023-11-02 23:18:58 0:00:35 50997 failed install-dependencies
10.13 201840 2023-08-18 1:33:43 0:00:24 66390 build successful
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10.9 242470 2023-08-18 1:25:58 0:00:20 75121 build successful
13.arm64 32017 2023-08-18 1:21:02 0:00:06 10463 build successful