egap / methods-guides
EGAP methods guides
☆21Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for methods-guides
- Degrees of freedom adjustments for robust standard errors described in Imbens and Kolesár (2016, Review of Economics and Statistics)☆31Updated 2 months ago
- 'Caramba y zamba la cosa, que vivan los experimentos!' -from 'Me Gustan Los Estudiantes' by Violeta Parra☆10Updated 2 months ago
- ☆20Updated 4 years ago
- Randomization Inference for Randomized Experiments☆12Updated 3 months ago
- An R Shiny App to Count Words in a PDF Document☆29Updated 2 years ago
- Reproducible data downloads from the ICPSR data archive☆16Updated last year
- tidyverse code for QSS☆37Updated 4 years ago
- Slides and homework for model based inference☆13Updated 7 years ago
- This is an introductory guide to survey weighting. It provides a step-by-step walkthrough of the main procedures and explains the statist…☆36Updated 6 years ago
- IRT ideal point models in R using Stan☆22Updated 5 years ago
- Use regression, inverse probability weighting, and matching to close confounding backdoors and find causation in observational data☆13Updated 4 years ago
- Tools for estimating interactions☆13Updated last year
- A Priori Power Analyses for Conjoint Experiments☆19Updated last year
- Dynamic estimation of group-level opinion in R☆15Updated 4 years ago
- R Package for Quota Sampling on Facebook☆30Updated 6 years ago
- Code for Causal Inference: The Mixtape by Scott Cunningham☆27Updated 6 years ago
- bootstrap methods for survey data in R☆14Updated 2 weeks ago
- ☆25Updated 6 years ago
- autumn: Fast, Modern, and Tidy-Friendly Iterative Raking in R.☆37Updated 9 months ago
- multilevel regression and poststratification☆24Updated 10 years ago
- autoMrP☆25Updated this week
- Randomization inference tools for R☆17Updated this week
- "Data Access: Webscraping with R" for the Data Science Summer School☆13Updated 3 years ago
- Easy access to ANES data in R☆22Updated 3 years ago
- Simulation and power analysis of panel/hierarchical data that allows for independently generating effects by cross-section (between-subje…☆18Updated 9 months ago
- Chapter on causal inference for *R for Political Data Science: A Practical Guide*☆41Updated 3 years ago
- Text as Data Material for WashU Course☆14Updated 7 years ago
- Simple Conjoint Analyses, Tidying, and Visualization☆50Updated 4 years ago
- An R package for estimating controlled direct effects.☆18Updated last month