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IIVM model: Added a subgroups option to adapt to cases with and without the subgroups of always-takers and never-takers (#96).
Add checks for the intersections of y_col, d_cols, x_cols, z_cols (#84, #97). This also fixes #83 (with intersection between x_cols and d_cols a column could have been added multiple times to the covariate matrix).
Added checks and exception handling for duplicate entries in d_cols, x_cols or z_cols (#100).
Check the datatype of data when initializing DoubleMLData objects. Also check for duplicate column names (#100).
Fix bug #95 in #97: It occurred when x_cols where inferred via setdiff and y_col was a string with multiple characters.
We updated the citation info to refer to the arXiv paper (#98): Bach, P., Chernozhukov, V., Kurz, M. S., and Spindler, M. (2021), DoubleML - An Object-Oriented Implementation of Double Machine Learning in Python, arXiv:2104.03220.