Alternatives and similar repositories for dbnR:

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

• robson-fernandes / dbnlearn
  dbnlearn: An R package for Dynamic Bayesian Network Structure Learning, Parameter Learning and Forecasting
  ☆18Updated 4 years ago
• annennenne / causalDisco
  Tools for causal discovery in R
  ☆19Updated last month
• ModelOriented / treeshap
  Compute SHAP values for your tree-based models using the TreeSHAP algorithm
  ☆84Updated 9 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)
  ☆25Updated 3 years ago
• Bo-Ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆46Updated 4 years ago
• santikka / causaleffect
  causaleffect: R package for identifying causal effects.
  ☆30Updated 2 years ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆61Updated 4 years ago
• bd2kccd / r-causal
  R Wrapper for Tetrad Library
  ☆35Updated 7 months ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 5 months ago
• jantonelli111 / HDconfounding
  R package to implement high-dimensional confounding adjustment using continuous spike and slab priors
  ☆10Updated 5 years ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆43Updated 11 months ago
• diwangstat / VAR-Tensor
  Julia codes in "High-dimensional vector autoregressive time series modeling via tensor decomposition"
  ☆13Updated last year
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆79Updated 7 months ago
• caus-am / jci
  Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)
  ☆16Updated 4 years ago
• cran / bnlearn
   This is a read-only mirror of the CRAN R package repository. bnlearn — Bayesian Network Structure Learning, Parameter Learning and Infe…
  ☆57Updated 3 months ago
• cran / pcalg
   This is a read-only mirror of the CRAN R package repository. pcalg — Methods for Graphical Models and Causal Inference. Homepage: https…
  ☆35Updated 7 months ago
• NorskRegnesentral / shapr
  Explaining the output of machine learning models with more accurately estimated Shapley values
  ☆158Updated this week
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆42Updated 8 months ago
• christinaheinze / CompareCausalNetworks
  A unified interface for the estimation of causal networks
  ☆22Updated 5 years ago
• tlverse / tmle3shift
  🎯 Targeted Learning of the Causal Effects of Stochastic Interventions
  ☆17Updated 7 months ago
• davidruegamer / FDA_tutorial
  ☆24Updated 6 months ago
• hanase / BMA
  R package for Bayesian model averaging
  ☆38Updated 3 months ago
• functionaldata / tPACE
  Testing version of fdapace
  ☆31Updated 9 months ago
• wbnicholson / BigVAR
  Dimension Reduction Methods for Multivariate Time Series
  ☆59Updated 3 weeks ago
• maxto / Time-Series-Clustering
  Time-Series Clustering: Overview, R-packages
  ☆41Updated 6 years ago
• migariane / TutorialCausalInferenceEstimators
  Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial
  ☆38Updated 4 years ago
• majianthu / copent
  R package for estimating copula entropy (mutual information), transfer entropy (conditional mutual information), and the statistic for mu…
  ☆42Updated 10 months ago
• ykang / gratis
  GRATIS: GeneRAting TIme Series with diverse and controllable characteristics
  ☆76Updated last year
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆28Updated 3 months ago
• Mamba413 / Ball
  Statistical Inference and Sure Independence Screening via Ball Statistics
  ☆32Updated 5 months ago