tidymodels / stacks
An R package for tidy stacked ensemble modeling
☆295Updated 3 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for stacks
- Tidy interface to 'data.table'☆450Updated last month
- Classes and functions to create and summarize resampling objects☆341Updated last month
- Tidy methods for measuring model performance☆376Updated last week
- Pin, discover, and share resources☆316Updated last month
- Modeling Workflows☆207Updated this week
- A poor man's dependency free grammar of data manipulation☆340Updated 9 months ago
- Interactively annotate ggplots☆309Updated 3 years ago
- Sliding Window Functions☆297Updated 3 weeks ago
- Tools for tidy parameter tuning☆282Updated this week
- Source of tidyverse.org☆194Updated 2 weeks ago
- 三 R package: An Inclusive, Unifying API for Progress Updates☆281Updated last week
- Advice on R Package Building☆465Updated this week
- Working with relational data models in R☆501Updated this week
- Tidylog provides feedback about dplyr and tidyr operations. It provides wrapper functions for the most common functions, such as filter, …☆586Updated 5 months ago
- Engineering Production-Grade Shiny Apps — Published in the R Series☆237Updated 2 months ago
- Create tabs of View() output for each chained pipe☆245Updated 2 years ago
- Estimated Marginal Means and Marginal Effects from Regression Models for ggplot2☆558Updated this week
- Outstanding User Interfaces with Shiny CRC Press book online version☆224Updated 6 months ago
- View and Browse Code Using Flow Diagrams☆403Updated this week
- Theme ggplot2, lattice, and base graphics based on a few simple settings.☆244Updated 3 months ago
- R package to add 'dplyr'-like Syntax for Summary Statistics of Survey Data☆214Updated last month
- A Collaborative list of things to know before submitting to CRAN☆302Updated 6 months ago
- ggplot2 shortcuts (transformations made easy)☆274Updated 2 weeks ago
- A tidy unified interface to models☆599Updated last week
- Fresh shiny themes☆228Updated 4 months ago
- Estimate effects, contrasts and means based on statistical models☆234Updated 2 weeks ago
- Tidyverse design principles☆220Updated 4 months ago
- Quick serialization of R objects☆403Updated last month
- Find differences between R objects☆285Updated last week
- Apply Mapping Functions in Parallel using Futures☆700Updated last year