This package provides an implementation of an algorithm for recalibrating the base quality scores for aligned sequencing data in BAM format.

The R4RNA package aims to be a general framework for the analysis of RNA secondary structure and comparative analysis in R.

Client interface for the registry API.

Reads and plots phylogenetic placements.

Palettes based on video games.

Some handy function in R.

Implementation of some functions to create quizzes in the GIFT format. This format is used by several Virtual Learning Environments such as Moodle.

Reservoir Systems Standard Operation Policy. A system for simulation of supply reservoirs. It proposes functionalities for plotting and evaluation of supply reservoirs systems.

This package allows communication with the Extensible Neuroimaging Archive Toolkit. Rxnat uses the XNAT REST API to perform data queries and download images.

An HTTP/2 client and server

S4-classes and methods for distributions.

Conveniently generate CSS using R code.

Build regular expressions piece by piece using human readable code. This package is designed for interactive use. For package development, use the rebus.* dependencies.

This package provides an R interface to libsbml for SBML parsing, validating output, provides an S4 SBML DOM, converts SBML to R graph objects.

Provide simple mechanism to repeatedly evaluate an expression until either it succeeds or timeout exceeded. It is useful in situations that random failures could happen.

TSON, short for Typed JSON, is a binary-encoded serialization of JSON like document that support JavaScript typed data (https://github.com/tercen/TSON).

After defining an R6 class, R62S3 is used to automatically generate optional S3/S4 generics and methods for dispatch. Also allows piping for R6 objects.

Extract text or metadata from over a thousand file types, using Apache Tika <https://tika.apache.org/>. Get either plain text or structured XHTML content.

Fundamental formulas for Radar, for attenuation, range, velocity, effectiveness, power, scatter, doppler, geometry, radar equations, etc. Based on Nick Guy's Python package PyRadarMet.

This package provides a toolbox for working with base types, core R features like the condition system, and core Tidyverse features like tidy evaluation.

This package provides tr! macro for localisation.

Single objective optimization using a CMA-ES.

Dynamic linear models and time series regression.

Tutarials of R learning easily and happily.