dkesada / dbnR
Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package
☆48Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for dbnR
- dbnlearn: An R package for Dynamic Bayesian Network Structure Learning, Parameter Learning and Forecasting☆14Updated 4 years ago
- Tools for causal discovery in R☆18Updated 5 months ago
- This repository is used as a support for the paper "" (to be named)☆24Updated 2 years ago
- A unified interface for the estimation of causal networks☆22Updated 4 years ago
- 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
- This is a read-only mirror of the CRAN R package repository. pcalg — Methods for Graphical Models and Causal Inference. Homepage: https…☆34Updated 2 months ago
- R Wrapper for Tetrad Library☆35Updated 2 months ago
- The msm R package for continuous-time multi-state modelling of panel data☆58Updated 2 weeks ago
- R package to implement high-dimensional confounding adjustment using continuous spike and slab priors☆10Updated 4 years ago
- Nonlinear Causal Discovery with Confounders☆15Updated last year
- R and python implementations of Accelerated Bayesian Causal Forest.☆25Updated 4 months ago
- Compute SHAP values for your tree-based models using the TreeSHAP algorithm☆80Updated 3 months ago
- Regularization Paths for Huber Loss Regression and Quantile Regression Penalized by Lasso or Elastic-Net☆10Updated last week
- Repository for Introduction to Bayesian Estimation of Causal Effects☆58Updated 4 years ago
- ☆42Updated 3 years ago
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆15Updated 4 years ago
- Code to run submissions for the Atlantic Causal Inference Competition☆42Updated 3 months ago
- Adjustment Identification Distance: A gadjid for Causal Structure Learning☆9Updated 4 months ago
- Julia codes in "High-dimensional vector autoregressive time series modeling via tensor decomposition"☆13Updated last year
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 3 years ago
- Implementing MCMC sampling from scratch in R for various Bayesian models☆106Updated 11 months ago
- Causal Inference using Bayesian Additive Regression Trees☆79Updated 2 months ago
- ☆12Updated 6 months ago
- ☆92Updated 10 months ago
- Joint Models for Longitudinal and Survival Data using MCMC☆59Updated 3 years ago
- Penalized Quantile Regression☆16Updated 3 weeks ago
- Dimension Reduction Methods for Multivariate Time Series☆56Updated last month
- Example causal datasets with consistent formatting and ground truth☆66Updated last year
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆103Updated 3 years ago
- Distributional Random Forests (Cevid et al., 2020)☆38Updated last year