andrewheiss / 2021-seacenLinks
Two sessions for SEACEN's November 2021 online course on "Data Analytics for Macroeconomic Surveillance"
☆11Updated 3 years ago
Alternatives and similar repositories for 2021-seacen
Users that are interested in 2021-seacen are comparing it to the libraries listed below
Sorting:
- ☆27Updated last month
- Install Workshop Materials for Causal Inference in R☆23Updated last week
- ☆15Updated 3 years ago
- Tidy Survey Analysis in R using the srvyr Package: Short Course☆25Updated 3 years ago
- A practical introduction to modeling in Stan☆46Updated 3 years ago
- ☆18Updated 2 years ago
- Warehouse of (Raw) Teaching Materials☆16Updated last month
- Techniques to Build Better Balance in Propensity Score Models☆20Updated last month
- Invited session for Day 3 of the RStudio Instructor Training and Certification Program.☆24Updated 3 years ago
- ☆12Updated last year
- A 6 hour course on Stan with Dan Simpson, Vianey Leos-Barajas, and Andrew MacDonald☆19Updated 5 years ago
- Chapter on causal inference for *R for Political Data Science: A Practical Guide*☆42Updated 4 years ago
- 2024-01-23 R-Ladies Nairobi☆23Updated last year
- 📊 🌐 🧑🏫 Website for PhD-level independent readings course on Bayesian statistics with R and Stan, built with Quarto☆43Updated 2 years ago
- Stand alone markdowns with embedded shiny apps for various eco&epi models☆24Updated 2 years ago
- ☆10Updated 3 years ago
- Materials for intro to Bayesian models☆16Updated last year
- Workshop materials for R-Ladies Philly.☆15Updated 3 years ago
- Create Codebooks From Data Frames☆29Updated last year
- UA Workshop: Python for R users☆24Updated 2 years ago
- Mixed models for complex surveys☆34Updated last year
- Slides for the workshop Designing ggplots☆11Updated 3 years ago
- R package for styling graphics for RSS publications.☆15Updated last year
- 📊 📄 Suparna Chaudhry, Marc Dotson, and Andrew Heiss, "Who Cares About Crackdowns? Exploring the Role of Trust in Individual Philanthrop…☆26Updated 4 years ago
- ☆41Updated last year
- An introductory course on causal inference. Designed for undergraduate students with only a working knowledge of R and multiple regressio…