GitHub

StatsPAI: Agent-Native Causal Inference & Econometrics Toolkit for Python

StatsPAI is a validation-tiered Python library for causal inference and applied econometrics. One import, 1,000+ registered functions across 80+ submodules (live count: python ...
Oak Ridge National Lab

The E3SM Diagnostics Package (E3SM Diags v2.7): a Python-based diagnostics package for Earth system model evaluation

The E3SM Diagnostics Package (E3SM Diags) is a modern, Python-based Earth system model (ESM) evaluation tool (with Python module name e3sm_diags), developed to support the Department of Energy (DOE) ...
GitHub

r_ml_stata_default"

noi di "N. of training units = " e(N_train_all) _continue noi di _col(45) "N. of testing units = " e(N_test_all) noi di "N. of used training units = " e(N_train_used ...
IEEE

An OLS Controller for Hybrid Fixed / Flexi Grid Disaggregated Networks with Open Interfaces

Abstract: We report the design and implementation of an OLS controller in a hierarchical (partial & full) disaggregation, using open standard data models. We detail the constrained path computation in ...
Pew Research Center

Using fixed and random effects models for panel data in Python

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Identifying causal relationships from observational data is not easy. Still, ...