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An implementation of Linear Mixed Model, a statistical model that promotes sparse variable selection in the presence of correlated and linearly dependent variables.
pip install sparse-lmm
PyPI declares 2 unique dependency rules for this release. Environment markers are shown when supplied by the project.
sparse-lmm publishes 1 wheel and 1 source archive for version 1.4. Wheel platform tags: any.
No version-specific Python classifiers are declared.
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PyPI lists 12 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .