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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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14 build(s) found
Builder Build Number Start Time Elapsed Time Watcher Build Status
10.14 197804 2024-02-27 7:27:12 0:00:28 64597 build successful
10.11 253461 2024-02-27 7:23:13 0:00:25 83002 build successful
10.15 173820 2024-02-27 7:22:43 0:00:34 53587 build successful
10.13 222909 2024-02-27 7:22:38 0:00:23 73846 build successful
11 144721 2024-02-27 7:22:28 0:00:37 43515 build successful
10.12 262630 2024-02-27 7:21:24 0:00:29 81788 build successful
10.6.x86_64 191021 2024-02-27 7:20:12 0:00:24 55575 build successful
10.6 155401 2024-02-27 7:19:25 0:00:55 55530 failed install-dependencies
12 98780 2024-02-27 7:16:36 0:00:33 32327 build successful
10.8 166892 2024-02-27 7:13:53 0:00:17 53370 failed install-dependencies
10.7 179511 2024-02-27 7:12:25 0:00:16 55310 failed install-dependencies
13.arm64 51515 2024-02-27 7:10:28 0:00:11 17945 build successful
10.9 265424 2024-02-27 7:09:53 0:00:24 82577 failed install-dependencies
10.10 258444 2024-02-27 7:09:01 0:00:22 82894 failed install-dependencies