jhaberbe / pvca

Principal Variance Component Analysis using lme4 implemented in Python

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PVCA

Principal Variance Component Analysis using lme4 implemented in Python

Notes:

installation has to be done through conda-forge due to dependencies on pymer4, follow the instructions on pymer4. r-matrix has some incompatibility breaks that aren't accounted for, so you need to specify r-matrix=1.6_1.

conda create --name pvca -c ejolly -c conda-forge -c defaults pymer4 tqdm scipy pandas r-matrix=1.6_1

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Principal Variance Component Analysis using lme4 implemented in Python

License:MIT License


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