hanase / BMA
R package for Bayesian model averaging
☆37Updated 2 weeks ago
Alternatives and similar repositories for BMA:
Users that are interested in BMA are comparing it to the libraries listed below
- Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis☆28Updated 11 months ago
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆30Updated 2 months ago
- maximum likelihood estimation package☆25Updated this week
- Fit Bayesian models with a focus on spillover effects. Implements linear specifications (with or without shrinkage), allows for spatial l…☆11Updated last year
- Updated R code and data from Gasparrini Lancet 2015☆15Updated 2 years ago
- Time Series Analysis for the State-Space Model with R/Stan☆24Updated 3 years ago
- Forecast uncertainty based on model averaging☆9Updated 3 years ago
- Code and resources to serve as a starting point for data science projects.☆21Updated 3 years ago
- Tools for building new GAM models in mgcv☆14Updated this week
- Unsupervised Clustering and Meta-analysis using Gaussian Mixture Copula Models☆15Updated 3 years ago
- CRAN Survival Task View☆12Updated 4 years ago
- Piece-wise exponential Additive Mixed Modeling tools☆48Updated 2 weeks ago
- Automated machine learning in mlr3☆25Updated 2 years ago
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 2 months ago
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆24Updated 2 years ago
- Tools for automatically generating local sensitivity measures in Stan.☆35Updated 4 years ago
- causaleffect: R package for identifying causal effects.☆29Updated 2 years ago
- ☆31Updated last month
- R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…☆25Updated 4 months ago
- mlim: single and multiple imputation with automated machine learning☆31Updated 6 months ago
- R package to perform Bayesian regularization using Stan.☆25Updated 2 years ago
- R package to implement high-dimensional confounding adjustment using continuous spike and slab priors☆10Updated 5 years ago
- Public Available Code to Conduct Analyses in "Evaluating the Impact of Long-term Exposure to Fine Particulate Matter on Mortality Among t…☆19Updated last year
- Analysis of excess mortality in Italy during the COVID-19 pandemic☆15Updated last month
- Additive quantile regression R package☆30Updated 4 months ago
- Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions☆12Updated 3 years ago
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆59Updated 3 months ago
- ☆15Updated 3 years ago
- Simulate Survival Data☆23Updated 4 years ago
- Build dirichletprocess objects for data analysis☆58Updated last year