robson-fernandes / dbnlearn

Related projects ⓘ

Alternatives and complementary repositories for dbnlearn

• dkesada / dbnR
  Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package
  ☆48Updated 5 months ago
• jantonelli111 / HDconfounding
  R package to implement high-dimensional confounding adjustment using continuous spike and slab priors
  ☆10Updated 4 years 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 2 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
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated this week
• chjackson / msm
  The msm R package for continuous-time multi-state modelling of panel data
  ☆58Updated 2 weeks ago
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆42Updated 3 months ago
• soerenkuenzel / causalToolbox
  ☆42Updated 3 years ago
• neural-structured-additive-learning / deepregression
  ☆12Updated 7 months ago
• CY-dev / hqreg
  Regularization Paths for Huber Loss Regression and Quantile Regression Penalized by Lasso or Elastic-Net
  ☆10Updated 2 weeks ago
• annennenne / causalDisco
  Tools for causal discovery in R
  ☆18Updated 5 months ago
• lorismichel / quantregForest
  R package - Quantile Regression Forests, a tree-based ensemble method for estimation of conditional quantiles (Meinshausen, 2006).
  ☆26Updated 6 years ago
• wbnicholson / BigVAR
  Dimension Reduction Methods for Multivariate Time Series
  ☆56Updated 2 months ago
• bssherwood / rqpen
  Penalized Quantile Regression
  ☆16Updated 3 weeks ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆40Updated 6 months ago
• Chrisejorge / Causal-Inference
  Materials Collection for Causal Inference
  ☆40Updated last year
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated 4 months ago
• migariane / TutorialCausalInferenceEstimators
  Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial
  ☆38Updated 3 years ago
• stablemarkets / BayesianTutorials
  Implementing MCMC sampling from scratch in R for various Bayesian models
  ☆106Updated 11 months ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆58Updated 4 years ago
• ModelOriented / treeshap
  Compute SHAP values for your tree-based models using the TreeSHAP algorithm
  ☆80Updated 4 months ago
• hagijyun / Time_Series_Analysis_4SSM_R_Stan
  Time Series Analysis for the State-Space Model with R/Stan
  ☆22Updated 3 years ago
• caojiguo / FDAcourse2019
  Slides and R codes for Functional Data Analysis Course
  ☆85Updated 5 years ago
• ngreifer / WeightIt
  WeightIt: an R package for propensity score weighting
  ☆102Updated last week
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• till-tietz / rcf
  heterogeneous treatment effect estimation with causal forests
  ☆10Updated last year
• migariane / TutorialComputationalCausalInferenceEstimators
  Tutorial_Computational_Causal_Inference_Estimators
  ☆30Updated 3 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…
  ☆55Updated 3 months ago
• sambofra / bnstruct
  R package for Bayesian Network Structure Learning
  ☆17Updated 9 months ago
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆38Updated last year