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pbl-planning-tool-documentation
pbl-planning-tool-documentation PublicVignettes that demonstrate how the PBL Planning Tool can be used in health planning.
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- MockData Public
Big-Life-Lab/MockData’s past year of commit activity - model-parameters-pipeline Public
The Model Parameters Pipeline is an R package for applying transformations to data according to the Model Parameters specification developed by Big Life Lab. This package implements a pipeline for sequential data transformations including centering, dummy coding, interactions, restricted cubic splines (RCS), and logistic regression.
Big-Life-Lab/model-parameters-pipeline’s past year of commit activity - MPoRT-Nutrition Public
This directory contains files for implementation of the CVDPoRT-Nutrition algorithms.
Big-Life-Lab/MPoRT-Nutrition’s past year of commit activity - CVDPoRT-Nutrition Public
This directory contains files for implementation of the CVDPoRT-Nutrition algorithms.
Big-Life-Lab/CVDPoRT-Nutrition’s past year of commit activity - model-parameters-pipeline-py Public
The Model Parameters Pipeline is a Python package for applying transformations to data according to the Model Parameters specification developed by Big Life Lab. This package implements a pipeline for sequential data transformations including centering, dummy coding, interactions, restricted cubic splines (RCS), and logistic regression.
Big-Life-Lab/model-parameters-pipeline-py’s past year of commit activity
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