Documentation at https://melpa.org/#/ride-mode
Documentation at https://melpa.org/#/rego-mode
Documentation at https://melpa.org/#/regex-dsl
Documentation at https://melpa.org/#/robot-log
Easily display user feedback in Shiny apps.
Dataset from the young elite swimmers study.
Regular expression for matching ANSI escape codes
Visualize the objects in orbits in 2D and 3D. The packages is under developing to plot the orbits of objects in polar coordinate system. See the examples in demo.
Rack::Cache is suitable as a drop-in component to enable HTTP caching for Rack-based applications that produce freshness (Expires, Cache-Control) and/or validation (Last-Modified, ETag) information.
R implementation of the FAIR Data Pipeline API'. The FAIR Data Pipeline is intended to enable tracking of provenance of FAIR (findable, accessible and interoperable) data used in epidemiological modelling.
Standardized methods for calculating common important derived physical features of lakes including water density based based on temperature, thermal layers, thermocline depth, lake number, Wedderburn number, Schmidt stability and others.
This package provides a wrapper for Rmath.
A Common Lisp client library for Apache Kafka.
ActionText edits and displays rich text in Rails applications.
Sample dataset obtained from http://www.hapmap.org.
Sample dataset obtained from http://www.hapmap.org.
Sample dataset obtained from http://www.hapmap.org.
Estimating Non-Simplified Vine Copulas Using Penalized Splines.
detect possibly catastrophic, exponential-time regular expressions
Regular expression for matching ANSI escape codes
Regular expression for matching ANSI escape codes
This package was automatically created by package AnnotationForge version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was RatToxFX\_probe\_tab.
This package provides a pure R implementation of the median cut algorithm. Extracts the dominant colors from an image, and turns them into a scale for use in plots or for fun!
In data science, it is a common practice to compute a series of columns (e.g. features) against a common response vector. Various metrics are provided with efficient computation implemented with Rcpp'.