rootcoder007/morie repository overview

A multi-domain scientific computing toolkit (Python and R) for observational inference, with sociolegal, signal-processing, cryptographic, spatial-statistics, statistical-physics, and psychometrics modules. Hosts the MRM framework as a primary application for Canadian carceral, police, and oversight data analysis. The R package ships native causal-inference engines — matching (nearest/Mahalanobis/exact/CEM/optimal/genetic/cardinality), double machine learning with clustered SEs, R-learner causal forests, T/S/X/DR meta-learners, design-based GLM, and a causal DAG toolkit (morie_dag*) — implemented in-package and cross-validated against MatchIt, DoubleML, grf, and dagitty rather than depending on them.