IamGianluca / armLinks
My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill
☆81Updated 5 years ago
Alternatives and similar repositories for arm
Users that are interested in arm are comparing it to the libraries listed below
Sorting:
- ☆97Updated 7 years ago
- ☆78Updated 9 years ago
- Solutions for the practice problems☆146Updated 4 years ago
- Blog about time series data mining in R.☆74Updated last year
- Files for Modern Statistical Workflow workshop☆10Updated 9 years ago
- Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)☆196Updated 8 years ago
- John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS☆117Updated 8 years ago
- Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms.…☆196Updated 4 years ago
- StanCon2018 Helsinki Tutorial☆30Updated 5 years ago
- Case studies on model assessment, model selection and inference after model selection☆170Updated last year
- Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition☆68Updated 7 years ago
- Bayesian Modeling using Stan in R (May/June 2016)☆54Updated 9 years ago
- An interactive online reading of McElreath's Statistical Rethinking☆125Updated 7 years ago
- ☆135Updated last year
- Replication Files for Feit and Berman (2019) Test & Roll: Profit-Maximizing A/B Tests, Marketing Science.☆22Updated 5 years ago
- Library of Stan Models for Survival Analysis☆124Updated 5 years ago
- Materials from Stan conferences☆256Updated 4 years ago
- Introduction to Empirical Bayes: Examples from Baseball Statistics☆194Updated 4 years ago
- This repository includes all the data analyses I carry out for my general exams reading, Spring 2015☆64Updated 10 years ago
- R package for Customer Behavior Analysis☆189Updated last year
- Draft introduction to probability and inference aimed at the Stan manual.☆86Updated 9 years ago
- This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.☆70Updated 7 years ago
- All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (2nd ed, 2018) by Rob J Hyndman …☆107Updated last year
- Inference case studies in knitr☆167Updated 2 years ago
- Stan models for state space time series☆145Updated 8 years ago
- Implementing MCMC sampling from scratch in R for various Bayesian models☆109Updated last year
- Tutorial in randomization inference, experimental design and analysis, and experiments in networks.☆29Updated 9 years ago
- Regression and other stories R examples☆339Updated last month
- An R-Java Bayesian Additive Regression Trees implementation☆62Updated last year
- Hierarchical and Grouped Time Series☆110Updated 6 months ago