Alternatives and similar repositories for causalXtreme:

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

• annennenne / causalDisco
  Tools for causal discovery in R
  ☆18Updated last week
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆49Updated 2 months ago
• wbnicholson / BigVAR
  Dimension Reduction Methods for Multivariate Time Series
  ☆57Updated 4 months ago
• santikka / causaleffect
  causaleffect: R package for identifying causal effects.
  ☆29Updated 2 years ago
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆39Updated last year
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• dkesada / dbnR
  Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package
  ☆52Updated 8 months ago
• bd2kccd / r-causal
  R Wrapper for Tetrad Library
  ☆35Updated 5 months ago
• AnaRitaNogueira / Methods-and-Tools-for-Causal-Discovery-and-Causal-Inference
  This repository is used as a support for the paper "" (to be named)
  ☆24Updated 3 years ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆59Updated 4 years ago
• ehkennedy / npcausal
  ☆93Updated last year
• DarkEyes / VLTimeSeriesCausality
  A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.
  ☆55Updated 8 months ago
• migariane / TutorialCausalInferenceEstimators
  Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial
  ☆38Updated 4 years ago
• Bo-Ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆45Updated 4 years ago
• hagijyun / Time_Series_Analysis_4SSM_R_Stan
  Time Series Analysis for the State-Space Model with R/Stan
  ☆24Updated 3 years ago
• till-tietz / rcf
  heterogeneous treatment effect estimation with causal forests
  ☆11Updated last year
• soerenkuenzel / causalToolbox
  ☆42Updated 3 years ago
• atsa-es / MARSS
  Multivariate Autoregressive State-Space Modeling with R
  ☆52Updated last year
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 3 months ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆79Updated 5 months ago
• tnagler / VineCopula
  Statistical inference of vine copulas
  ☆91Updated last week
• 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
• robson-fernandes / dbnlearn
  dbnlearn: An R package for Dynamic Bayesian Network Structure Learning, Parameter Learning and Forecasting
  ☆15Updated 4 years ago
• amazon-science / azcausal
  Causal Inference in Python
  ☆40Updated last month
• hammadshaikhha / Causal-Inference-Mastery
  Notes and simulations on graduate level causal inference in statistics with applications to social sciences.
  ☆23Updated 5 years ago
• grf-labs / sufrep
  Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1
  ☆14Updated 4 years ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆41Updated 9 months ago
• rrtucci / JudeasRx
  python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.
  ☆24Updated 2 years ago
• christinaheinze / CompareCausalNetworks
  A unified interface for the estimation of causal networks
  ☆22Updated 5 years ago
• mikenguyen13 / data_analysis
  Streamline a data analysis process
  ☆73Updated this week