rasmusab / bayesboot
An R package implementing Rubin's (1981) Bayesian bootstrap.
☆49Updated 6 years ago
Alternatives and similar repositories for bayesboot:
Users that are interested in bayesboot are comparing it to the libraries listed below
- Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017☆57Updated 5 years ago
- Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition☆68Updated 7 years ago
- Moment-Based Estimation for Hierarchical Models (R Package)☆25Updated 6 years ago
- exploratory data analysis using random forests☆69Updated 6 years ago
- subsemble R package for ensemble learning on subsets of data☆43Updated 2 years ago
- Define Stan models using glmer-style (lme4) formulas☆55Updated 10 years ago
- Links to slides for talks at the 2016 Joint Statistical Meetings in Chicago☆79Updated 2 years ago
- A simpler ggplot2 syntax, saving half of your typing.☆79Updated 6 years ago
- Pre-packaged plots in R☆85Updated 8 months ago
- R package cross-validation, bootstrap, permutation, and rolling window resampling techniques for the tidyverse.☆34Updated 6 years ago
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36Updated 6 years ago
- Conditional autoregressive models in Stan☆33Updated last year
- Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…☆19Updated 11 months ago
- Computationally efficient confidence intervals for cross-validated AUC estimates in R☆23Updated 3 years ago
- A random-forest-based approach for imputing clustered incomplete data☆35Updated 7 years ago
- Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference☆112Updated last year
- 🎯🎓 Generalized Targeted Learning Framework☆37Updated 2 months ago
- Slides from various conferences☆48Updated 6 years ago
- We would like create Bayesian workflows following "A quick-start introduction to Stan for economists" by Jim Savage for all example model…☆16Updated 7 years ago
- Tidy machine learning pipelines☆133Updated 7 years ago
- A collection of RStudio style cheatsheets for the Stan ecosystem☆58Updated 4 years ago
- Empirical Bayes binomial estimation☆69Updated 3 years ago
- Lecture notes from a statistics course I teach at Potsdam☆29Updated 4 years ago
- Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"☆39Updated 8 years ago
- Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.☆48Updated 7 months ago
- A demonstration of Bayesian approaches to linear model regularization☆17Updated 8 years ago
- Gaussian process everything - an R package to reimplement and combine common statistical models using GPs☆27Updated 6 years ago
- R tools for combining data sets.☆55Updated 4 years ago
- "Exploratory Data Analysis using Random Forests"☆18Updated 8 years ago
- Materials for the Applied Machine Learning Workshop in Washington DC☆29Updated 6 years ago