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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 132401 2023-11-02 23:42:08 0:00:33 38936 build successful
10.15 161329 2023-11-02 23:42:01 0:01:56 49013 build successful
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10.6 141505 2023-11-02 23:33:10 0:00:51 50955 failed install-dependencies
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10.7 165429 2023-11-02 23:28:05 0:00:37 50735 failed install-dependencies
11.arm64 107158 2023-11-02 23:27:36 0:00:09 38933 failed install-dependencies
10.6.x86_64 176915 2023-11-02 23:24:57 0:00:38 50997 failed install-dependencies
10.8 153493 2023-11-02 23:24:20 0:00:22 48791 failed install-dependencies
10.11 232426 2023-08-18 3:36:24 0:00:18 75544 build successful
10.13 201889 2023-08-18 2:53:39 0:00:23 66390 build successful
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10.7 156415 2023-08-18 2:09:47 0:00:20 47848 build successful
10.6.x86_64 167232 2023-08-18 2:09:28 0:00:21 48107 build successful
13.arm64 32066 2023-08-18 1:42:09 0:00:07 10463 build successful