Python library for simulating realistic missingness patterns (MCAR, MAR, MNAR) in time-series data for imputation benchmarking. Supports block missingness, exact rate control, and handles 2D/3D arrays.
python data-science machine-learning time-series simulation imputation missing-data mcar missing-at-random mnar
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Updated
Feb 22, 2026 - Python