miicTeam / miic_R_packageLinks
Learning causal or non-causal graphical models using information theory
☆32Updated 5 months ago
Alternatives and similar repositories for miic_R_package
Users that are interested in miic_R_package are comparing it to the libraries listed below
Sorting:
- Tools for causal discovery in R☆20Updated 9 months ago
- Compute SHAP values for your tree-based models using the TreeSHAP algorithm☆90Updated last year
- Nested cross-validation for accurate confidence intervals for prediction error.☆43Updated 3 years ago
- ☆59Updated 6 months ago
- Python package for (conditional) independence testing and statistical functions related to causality.☆29Updated last week
- Extended Joint Models for Longitudinal and Survival Data☆94Updated this week
- R implementation of VCBART☆22Updated 2 weeks ago
- Inference in Bayesian Networks with R☆12Updated 2 years ago
- Epidemiology analysis package☆150Updated 2 years ago
- Methods for subgroup identification / personalized medicine / individualized treatment rules☆33Updated this week
- R package for nonparametric estimation of counterfactual survival functions and survival contrasts from right-censored data with an obser…☆13Updated 2 years ago
- Stability Selection with Error Control☆26Updated 4 years ago
- Survival Support Vector Analysis☆18Updated 8 months ago
- Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial☆39Updated 4 years ago
- A small wrapper package that enables full survival curve estimation using xgboost☆20Updated last year
- Joint Models for Longitudinal and Survival Data using MCMC☆59Updated 4 years ago
- Python implementation of iterative-random-forests☆68Updated 2 years ago
- Non-parametric Causal Effects Based on Modified Treatment Policies☆76Updated 2 months ago
- Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates☆20Updated 2 years ago
- This repository contains slides from some of the classes I have taught in my career. The repository will be updated from time to time. I…☆33Updated 10 months ago
- Implementations of survival models in R☆59Updated last year
- Python package for the creation, manipulation, and learning of Causal DAGs☆155Updated 2 years ago
- Explainable Machine Learning in Survival Analysis☆116Updated last year
- Duration-Based Quantities of Interest and Simulation Methods for the Cox Proportional Hazards Model☆25Updated 4 years ago
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆60Updated last year
- Perform PCA on data with missing values in R☆53Updated 2 years ago
- Dimension Reduction and Estimation Methods☆54Updated 2 months ago
- Tools for Analyzing Finite Mixture Models☆24Updated last year
- Vintage Sparse PCA for Semi-Parametric Network Analysis☆26Updated 3 months ago
- implementation for Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data☆14Updated 5 years ago