waldronlab / Statistical-Rethinking
An interactive online reading of McElreath's Statistical Rethinking
☆124Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for Statistical-Rethinking
- Introduction to Empirical Bayes: Examples from Baseball Statistics☆189Updated 3 years ago
- John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS☆113Updated 8 years ago
- Materials from Stan conferences☆251Updated 4 years ago
- The bookdown version lives here: https://bookdown.org/content/3890☆396Updated last year
- Solutions for the practice problems☆147Updated 4 years ago
- Case studies on model assessment, model selection and inference after model selection☆171Updated 10 months ago
- Tutorial files to accompany Sorensen, Hohenstein, and Vasishth paper: http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html☆83Updated 8 years ago
- Inside every classical test there is a Bayesian model trying to get out.☆326Updated 8 years ago
- ARCHIVED Wraps UMAP Algorithm for Dimension Reduction☆112Updated 2 years ago
- ☆191Updated 3 years ago
- Pre-packaged plots in R☆84Updated 6 months ago
- simple and scalable statistical modelling in R☆537Updated last week
- Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition☆68Updated 6 years ago
- A collection of RStudio style cheatsheets for the Stan ecosystem☆58Updated 4 years ago
- Empirical Bayes binomial estimation☆69Updated 3 years ago
- reference material for classical hypothesis tests☆75Updated 2 years ago
- Probability and Statistics: a simulation-based introduction. An open-access book.☆307Updated last year
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…☆283Updated 5 months ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 6 years ago
- Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)☆195Updated 7 years ago
- My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill☆78Updated 5 years ago
- Tidy machine learning pipelines☆134Updated 7 years ago
- Set of solutions for the Advanced R programming book☆289Updated 8 months ago
- Notes on generalized linear models☆111Updated 6 years ago
- Data Science in the tidyverse, a two-day workshop @ rstudio:conf(2018)☆146Updated 6 years ago
- Library of Stan Models for Survival Analysis☆124Updated 4 years ago
- Resources for learning about the history of statistics and statisticians. By statisticians, for statisticians.☆167Updated 2 years ago
- Links to slides for talks at the 2017 rstudio::conf☆144Updated 2 years ago
- Convenience functions for working with merMod objects from lme4☆105Updated 9 months ago
- Resources from my Rstudio::conf 2019 talk☆218Updated 5 years ago