robson-fernandes / dbnlearn
dbnlearn: An R package for Dynamic Bayesian Network Structure Learning, Parameter Learning and Forecasting
☆18Updated 4 years ago
Alternatives and similar repositories for dbnlearn:
Users that are interested in dbnlearn are comparing it to the libraries listed below
- Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package☆57Updated 10 months ago
- R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''☆46Updated 4 years ago
- Tools for causal discovery in R☆19Updated last month
- R package to implement high-dimensional confounding adjustment using continuous spike and slab priors☆10Updated 5 years ago
- This repository is used as a support for the paper "" (to be named)☆25Updated 3 years ago
- Dimension Reduction Methods for Multivariate Time Series☆59Updated 3 weeks 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 5 months ago
- Compute SHAP values for your tree-based models using the TreeSHAP algorithm☆84Updated 9 months ago
- Causal Inference using Bayesian Additive Regression Trees☆79Updated 7 months ago
- Penalized Quantile Regression☆15Updated 2 months ago
- Bayesian Causal Forests☆43Updated 11 months ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆61Updated 4 years ago
- R Package. Bayesian and nonparametric quantile regression, using Gaussian Processes to model the trend, and Dirichlet Processes, for the …☆10Updated 5 years ago
- 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
- Code to run submissions for the Atlantic Causal Inference Competition☆42Updated 8 months ago
- A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.☆55Updated 10 months ago
- ☆42Updated 4 years ago
- The msm R package for continuous-time multi-state modelling of panel data☆61Updated 5 months ago
- Modelling extreme values☆15Updated 6 months ago
- Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression disconti…☆16Updated last year
- Implementing MCMC sampling from scratch in R for various Bayesian models☆109Updated last year
- heterogeneous treatment effect estimation with causal forests☆12Updated last year
- ☆12Updated 4 months ago
- Echo State Networks for Time Series Forecasting☆16Updated last month
- Regularization Paths for Huber Loss Regression and Quantile Regression Penalized by Lasso or Elastic-Net☆10Updated 5 months ago
- R package - Quantile Regression Forests, a tree-based ensemble method for estimation of conditional quantiles (Meinshausen, 2006).☆30Updated 7 years ago
- R package for Bayesian model averaging☆38Updated 3 months ago
- GRATIS: GeneRAting TIme Series with diverse and controllable characteristics☆76Updated last year
- Joint Models for Longitudinal and Survival Data using MCMC☆59Updated 4 years ago