amices / Winnipeg
Handling Missing Data in R with MICE
☆18Updated 4 years ago
Alternatives and similar repositories for Winnipeg:
Users that are interested in Winnipeg are comparing it to the libraries listed below
- Analysis of simulation studies including Monte Carlo error☆28Updated 9 months ago
- Documents to plan and discuss future development☆37Updated 5 months ago
- 🔦 Easily Extracting Information About Your Data in R☆54Updated last year
- tidymodels code for the book Applied Predictive Modeling☆44Updated 2 years ago
- ☆73Updated 2 years ago
- Files for the RStudio::conf 2019 workshop: Introduction to Shiny and R Markdown☆48Updated 6 years ago
- Funnel plots for comparing institutional performance, with overdispersion adjustment☆59Updated 10 months ago
- ☆43Updated 2 years ago
- API for exploring and iterating rstan fit objects☆25Updated 4 years ago
- Testing renv and RStudio Package Manager☆31Updated 3 years ago
- Mixed models for complex surveys☆34Updated 7 months ago
- CRAN Task View: Causal Inference☆16Updated 10 months ago
- Using R more "wisely": Column-wise and row-wise operations with dplyr☆12Updated 4 years ago
- https://mastering-shiny-solutions.org☆19Updated 2 years ago
- e-Rum2020::A Unified Approach For Writing Automatic Reports☆20Updated 4 years ago
- posit::conf Virtual Swag Bag☆30Updated 6 months ago
- ☆77Updated 4 years ago
- Source and slides for "Why you should be using tidymodels" at UW-Madison☆18Updated last year
- Turn Tidymodels Workflows Into Series of Equations☆30Updated last week
- e-Rum2020 program and materials☆57Updated 2 years ago
- ☆21Updated 2 years ago
- Create columns by applying functions to vectors and/or columns in 'dplyr'.☆61Updated 3 years ago
- tidymodels code for Applied Predictive Modeling☆37Updated 3 years ago
- rstudio::conf(2022) Workshop: From R Markdown to Quarto☆47Updated 2 years ago
- R package for microsimulation☆38Updated 6 months ago
- Automating run chart analysis for faceted displays of data across multiple metrics or locations☆38Updated 2 years ago
- 📊 🌐 🧑🏫 Website for graduate-level course on program evaluation and causal inference using R, built with Quarto☆62Updated 2 years ago
- ☆35Updated 4 years ago
- R code to encode categorical features for machine learning☆15Updated 2 years ago
- A hackathon-in-a-box / "cookbook" to help build an R package with custom RMarkdown themes and ggplot2 themes & palettes. This looks like …☆83Updated 5 years ago