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Currently brmp expects data in the form of Pandas dataframes, but when working with larger, higher-dimensional datasets it might be more convenient to specify formulas in terms of multidimensional xarrayDataset objects.
This would probably require substantial changes to brmp's code generation infrastructure, however, and is not high priority.
The text was updated successfully, but these errors were encountered:
This would probably require substantial changes to brmp's code generation infrastructure,
The design matrix coding module is the only place we work with data frames, and I don't think we do much more than fetch columns by name, check column types (categorical, numeric, etc.), and fetch a list of levels present in a categorical column. So switching to working with xarray or some generic interface will hopefully be relatively painless.
Currently brmp expects data in the form of Pandas dataframes, but when working with larger, higher-dimensional datasets it might be more convenient to specify formulas in terms of multidimensional xarray
Dataset
objects.This would probably require substantial changes to brmp's code generation infrastructure, however, and is not high priority.
The text was updated successfully, but these errors were encountered: