miicTeam / miic_R_package
Learning causal or non-causal graphical models using information theory
☆27Updated last week
Alternatives and similar repositories for miic_R_package:
Users that are interested in miic_R_package are comparing it to the libraries listed below
- Inference in Bayesian Networks with R☆11Updated last year
- implementation for Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data☆13Updated 4 years ago
- Tools for causal discovery in R☆18Updated 7 months ago
- A versatile interface to the knockoff methodology.☆24Updated 2 years ago
- Causal Structure Learning and Network Analysis with Structural Equation Modeling.☆23Updated 2 weeks ago
- A curated list of awesome Bayesian statistics blogs and resources☆22Updated last year
- A Python package for General Graphical Lasso computation☆31Updated last month
- Nested cross-validation for accurate confidence intervals for prediction error.☆41Updated 2 years ago
- an R package collection for topological data analysis☆12Updated 2 months ago
- Python implementation of iterative-random-forests☆63Updated last year
- Python package for the creation, manipulation, and learning of Causal DAGs☆150Updated last year
- ☆40Updated 2 years ago
- ☆94Updated 9 months ago
- Survival Support Vector Analysis☆16Updated 6 years ago
- Tools for Analyzing Finite Mixture Models☆20Updated 7 months ago
- A unified interface for the estimation of causal networks☆22Updated 4 years ago
- Build dirichletprocess objects for data analysis☆58Updated last year
- ☆13Updated 3 years ago
- Vintage Sparse PCA for Semi-Parametric Network Analysis☆25Updated 2 months ago
- Contrastive Poisson latent variable models (CPLVMs)☆11Updated 2 years ago
- Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.☆69Updated 11 months ago
- BhGLM (Bayesian hierarchical GLMs and survival models)☆20Updated 7 months ago
- causaleffect: R package for identifying causal effects.☆29Updated 2 years ago
- A small wrapper package that enables full survival curve estimation using xgboost☆19Updated 7 months ago
- EmbedGEM: A framework to evaluate the utility of embeddings for genetic discovery☆21Updated 3 months ago
- Creates a plot to diagnose localization in the spectral analysis of graphs☆17Updated 4 years ago
- Delicatessen: the Python one-stop sandwich (variance) shop 🥪☆22Updated last month
- Compute SHAP values for your tree-based models using the TreeSHAP algorithm☆82Updated 6 months ago
- ☆11Updated 3 months ago