MORIE

Reproducible scientific computing — 36k+ registered callables, 60+ built-in datasets (plus ~160 BigQuery-derived via Datasette), Python + R.

Table of Contents

Navigation

  • From Zero — Start Here If You’ve Never Done This Before
  • Installation
  • CLI Reference

Documentation

  • MORIE architecture
  • Statistical Methods
  • API Reference

Development

  • Contributing
  • Acknowledgments

Related Topics

  • Documentation overview

Quick search

All modules for which code is available

  • morie.bootstrap_methods
  • morie.bq
  • morie.causal
  • morie.data
  • morie.dataset
  • morie.did
  • morie.doob_trends
  • morie.effect_sizes
  • morie.effects
  • morie.fn._containers
  • morie.fn._registry
  • morie.fn._richresult
  • morie.iv
  • morie.matching
  • morie.multiple_testing
  • morie.otis
  • morie.otis_all_analyze
  • morie.otis_analyze
  • morie.otis_causal
  • morie.otis_churn
  • morie.otis_datasets
  • morie.otis_tps_overlay
  • morie.psymet
  • morie.rdd
  • morie.sampling
  • morie.sensitivity
  • morie.siuiap
  • morie.sprott_doob
  • morie.statistics
  • morie.survey
  • morie.survival
  • morie.tps_all_analyze
  • morie.tps_crime
  • morie.tps_csi
  • morie.tps_datasets
  • morie.tps_hawkes_advanced
  • morie.tps_io
  • morie.tps_render
  • morie.tps_spatial
  • morie.tps_spatial_advanced
  • morie.tps_statphysics
  • morie.tps_stochastic
  • morie.tps_temporal
©2026, Vansh Singh Ruhela.