This package provides classes for analysing and implementing equity portfolios, including routines for generating tradelists and calculating exposures to user-specified risk factors.

This package provides a collection of tools associated with the qdap package that may be useful outside of the context of text analysis.

Wrapper for the non-validating SQL parser Python module sqlparse <https://github.com/andialbrecht/sqlparse>. It allows parsing, splitting, and formatting SQL statements.

Load WARC (Web ARChive) files into Apache Spark using sparklyr'. This allows to read files from the Common Crawl project <http://commoncrawl.org/>.

Calculate change point based on spectral clustering with the option to automatically calculate the number of clusters if this information is not available.

Compute age-adjusted rates by direct and indirect methods and other epidemiological indicators in a tidy way, wrapping functions from the epitools package.

This package provides utility functions for data analysis and scientific computing. Includes functions for parallel processing, and other computational tasks to streamline workflows.

Package designed to visualize genomic data along the chromosomes, where the vertical chromosomes are sorted by number, with sex chromosomes at the end.

The biobtreeR package provides an interface to biobtree, a tool which covers large sets of bioinformatics datasets and allows search and chain mappings functionalities.

This package provides functionality to create pretty word clouds, visualize differences and similarity between documents, and avoid over-plotting in scatter plots with text.

This light-weight package helps you track and visualize the progress of parallel versions of vectorized R functions of the mc*apply family.

This package provides a consistent, flexible and easy to use tool to parse and convert strings into cases like snake or camel among others.

This package provides an R Shiny application to create visual abstracts for original research. A variety of user defined options and formatting are included.

This package provides tools for functional enrichment analysis, gene identifier conversion and mapping homologous genes across related organisms via the g:Profiler toolkit.

This package provides methods to create, store, access, and manipulate large matrices. Matrices are allocated to shared memory and may use memory-mapped files.

This is a package for constructing minimum-cost regular spanning subgraph as part of a non-parametric two-sample test for equality of distribution.

This package provides a system for generating extendable and customizable heatmaps for exploring complex datasets, including big data and data with multiple data types.

An implementation of Relax NG schema validation written in Common Lisp, including support for compact syntax, DTD Compatibility, and the XSD type library.

This package provides a simple block-driven assertion library for both testing and for production code that attempts to make test definitions more readable.

This package provides an interface with the Wildbook mark-recapture ecological database framework. It helps users to pull data from the Wildbook framework and format data for further analysis with mark-recapture applications like Program MARK (which can be accessed via the RMark package in R'). Further information on the Wildbook framework is available at: <http://www.wildbook.org/doku.php>.

KEEL is a popular Java software for a large number of different knowledge data discovery tasks. Furthermore, RKEEL is a package with a R code layer between R and KEEL', for using KEEL in R code. This package includes the datasets from KEEL in .dat format for its use in RKEEL package. For more information about KEEL', see <http://www.keel.es/>.

Uses a combination of raytracing and multiple hill shading methods to produce 2D and 3D data visualizations and maps. Includes water detection and layering functions, programmable color palette generation, several built-in textures for hill shading, 2D and 3D plotting options, a built-in path tracer, Wavefront OBJ file export, and the ability to save 3D visualizations to a 3D printable format.

This provides a robust estimator for stochastic frontier models, employing the Minimum Density Power Divergence Estimator (MDPDE) for enhanced robustness against outliers. Additionally, it includes a function to recommend the optimal tuning parameter, alpha, which controls the robustness of the MDPDE. The methods implemented in this package are based on Song et al. (2017) <doi:10.1016/j.csda.2016.08.005>.

Render scenes using pathtracing. Build 3D scenes out of spheres, cubes, planes, disks, triangles, cones, curves, line segments, cylinders, ellipsoids, and 3D models in the Wavefront OBJ file format or the PLY Polygon File Format. Supports several material types, textures, multicore rendering, and tone-mapping. Based on the "Ray Tracing in One Weekend" book series. Peter Shirley (2018) <https://raytracing.github.io>.