Alternatives and similar repositories for cem:

Users that are interested in cem are comparing it to the libraries listed below

• IQSS / cem
  ☆17Updated 2 years ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆49Updated 3 months ago
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆76Updated 11 months ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆100Updated last year
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆138Updated 4 months ago
• syrgkanislab / orthogonal_regularized_estimation
  Code associated with paper: Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models, Chernozhuk…
  ☆15Updated 4 years ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆78Updated 9 months ago
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆80Updated last year
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆35Updated 5 months ago
• hmelberg / causal
  notebooks on methods for causal inference
  ☆32Updated 7 months ago
• DoubleML / doubleml-docs
  Documentation and User Guide for DoubleML - Double Machine Learning in Python & R
  ☆21Updated last week
• AlxndrMlk / huber-causal-analysis
  Jupyter Notebook adaptation of the code from Huber (2023) - Causal Analysis
  ☆11Updated 8 months ago
• kquist / DoubleML-Python
  ☆12Updated 5 years ago
• hammadshaikhha / Causal-Inference-Mastery
  Notes and simulations on graduate level causal inference in statistics with applications to social sciences.
  ☆23Updated 5 years ago
• FMenchetti / CausalArima
  An R package to estimate the effect of interventions on univariate time series using ARIMA models
  ☆19Updated 10 months ago
• grf-labs / sufrep
  Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1
  ☆14Updated 4 years ago
• lihualei71 / cfcausal
  R package cfcausal
  ☆27Updated 2 years ago
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆58Updated last year
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆50Updated 3 years ago
• soerenkuenzel / causalToolbox
  ☆42Updated 3 years ago
• nppackages / binsreg
  Partition selection, point estimation, pointwise and uniform inference, and graphical procedures using binscatter methods.
  ☆41Updated 3 months ago
• AlxndrMlk / blogs-code
  Code for blog posts.
  ☆19Updated last year
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆25Updated last year
• MCKnaus / dmlmt
  Double Machine Learning for Multiple Treatments
  ☆40Updated 4 years ago
• almost-matching-exactly / DAME-FLAME-Python-Package
  A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
  ☆56Updated 9 months ago
• sdfordham / pysyncon
  A python module for the synthetic control method
  ☆64Updated 2 months ago
• nppackages / scpi
  Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
  ☆32Updated last month
• liulch / bpCausal
  A package for Bayesian causal inference with time-series cross-sectional data
  ☆26Updated last year
• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆35Updated last year