R Package
Showing 21 of 21 projects
An open-source forecasting tool for time series data with multiple seasonality and linear or non-linear growth.
A declarative graphics system for R that implements the Grammar of Graphics to create complex visualizations from data.
An R package for building interactive web applications without requiring HTML, CSS, or JavaScript knowledge.
A grammar of data manipulation for R, providing a consistent set of verbs to solve common data manipulation challenges.
An R package for writing books, technical documents, and long-form reports with R Markdown.
A high-performance R package for fast data manipulation of large datasets, extending data.frame with concise syntax and memory efficiency.
An R package for robust anomaly detection in time series and vectors, handling seasonality and trend.
An R package for creating interactive web graphics via the open-source JavaScript library plotly.js.
An R package that provides a simple and flexible API for combining multiple ggplot2 plots into complex layouts.
A comprehensive R package that simplifies and expedites common R package development tasks.
A general-purpose literate programming engine for dynamic report generation in R, designed to give users full control over output.
An R package that extends ggplot2 to create publication-ready graphics with statistical details embedded directly in the plots.
An R package for creating stunning 2D and 3D maps and data visualizations using raytracing, hillshading, and ggplot2 integration.
An R package for creating publication-quality, information-rich tables with a cohesive and flexible API.
An R package for estimating causal effects in time series using Bayesian structural time-series models.
Create blogs and websites with R Markdown, integrating dynamic R code, graphics, and technical writing elements.
A comprehensive R package that embeds Python within R sessions, enabling seamless interoperability between the two languages.
An R package for creating, modifying, analyzing, and visualizing network graphs from tabular data.
A unified interface and infrastructure for machine learning in R, supporting classification, regression, clustering, and survival analysis.
An R package for creating slideshows with remark.js through R Markdown, designed for presentation ninjas.
A tidyverse package for web scraping in R, inspired by Beautiful Soup and designed for data extraction workflows.
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