deaneckles / randomization_inferenceLinks
Tutorial in randomization inference, experimental design and analysis, and experiments in networks.
☆29Updated 9 years ago
Alternatives and similar repositories for randomization_inference
Users that are interested in randomization_inference are comparing it to the libraries listed below
Sorting:
- Variable importance through targeted causal inference, with Alan Hubbard☆57Updated 2 weeks ago
- A short introduction to causal inference☆28Updated 6 years ago
- Implemention of the multiway bootstrap (including the Pigeonhole bootstrap, reweighting tensor bootstrap). Reweights observations with th…☆30Updated 11 years ago
- ☆34Updated 3 years ago
- Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition☆68Updated 7 years ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 2 months ago
- Files for Modern Statistical Workflow workshop☆10Updated 8 years ago
- Statistical Inference for Random Forests☆19Updated 6 years ago
- "Exploratory Data Analysis using Random Forests"☆18Updated 9 years ago
- Define Stan models using glmer-style (lme4) formulas☆55Updated 11 years ago
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆17Updated 5 years ago
- Moment-Based Estimation for Hierarchical Models (R Package)☆25Updated 2 months ago
- This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.☆70Updated 7 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
- Stan website built using Quarto, theming in repo quarto-config☆22Updated 3 weeks ago
- Heterogeneous Treatment Effects☆16Updated 2 years ago
- Bayesian Modeling using Stan in R (May/June 2016)☆54Updated 9 years ago
- Methods for heterogeneous treatment effect estimation☆24Updated 3 years ago
- Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017☆57Updated 6 years ago
- Understanding the 2016 US Presidential Election using ecological inference and distribution regression with census microdata☆16Updated 7 years ago
- Active Learning in R☆47Updated 8 years ago
- A sensitivity analysis package for causal effects☆11Updated last year
- Inverse regression analysis of text☆29Updated 7 years ago
- Website and blog for the research group of Mark J. van der Laan☆11Updated 3 years ago
- Conditional autoregressive models in Stan☆33Updated last year
- StanCon2018 Helsinki Tutorial☆30Updated 5 years ago
- Draft syllabus for the Data Challenge Lab☆23Updated 8 years ago
- Code accompanying my ICPSR summer program course on Applied Bayesian Modeling.☆44Updated 7 years ago
- Lecture Slides for Introduction to Data Science☆25Updated 2 years ago
- 📦 Your One Stop to Targeted Learning in R with the tlverse☆33Updated 3 years ago