An interactive graphing library for R
- r
- ggplot2
- javascript
- data-visualization
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An interactive graphing library for R
A general-purpose tool for dynamic report generation in R
Machine Learning in R
A lightweight, cross-platform, portable, and easy-to-maintain LaTeX distribution based on TeX Live
mlr3: Machine Learning in R - next generation
💡 Easily improve the user experience of your Shiny apps in seconds
📅 Create interactive timeline visualizations in R
Automate Data Exploration and Treatment
A visual exploratory tool on correlation matrix
Tidy anomaly detection
Facilitate citation of R packages
R bindings to the libgit2 library
talk with NCBI entrez using R
A gallery of animations in statistics and utilities to create animations
Chemical Information from the Web
Drat R Archive Template
Convert many data formats to & from GeoJSON & TopoJSON
GraphQL R client
Avoid the typical working directory pain when using 'knitr'
Data Access Client for Global Surface Summary of the Day (GSOD) Weather Written in R
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
Rcpp Bindings to C++ parser for TOML files
Bindings to libgraphqlparser for R
Accesses parasite occurrence records from the London Natural History Museum's Host-Parasite database, which contains over a quarter of a million helminth records.