Asciidoctor is a text processor and publishing toolchain for converting AsciiDoc content to HTML5, DocBook 5, PDF, and other formats.

Ruby/ProgressBar is an flexible text progress bar library for Ruby. The output can be customized with a formatting system.

This package provides a crate to access keyservers using the HKP protocol, and searching and publishing Web Key Directories.

This package implements a command \roundbox that can be used, in LaTeX, for producing boxes, framed with rounded corners.

The L-BFGS algorithm is a popular optimization algorithm for unconstrained optimization problems. Blaze is a high-performance C++ math library for dense and sparse arithmetic. This package provides a simple interface to the L-BFGS algorithm and allows users to optimize their objective functions with Blaze vectors and matrices in R and Rcpp'.

Implementation of efficient integer division and modular arithmetic operations with generic number types. Supports various backends including num-bigint, etc..

Data personally collected about the spread of COVID-19 (SARS-COV-2) in Tunisia <https://github.com/MounaBelaid/covid19datatunisia>.

This package implements various novel and standard clustering statistics and other analyses useful for understanding the spread of infectious disease.

Use RcppEigen to fit least trimmed squares regression models with an L1 penalty in order to obtain sparse models.

The LoomExperiment package provide a means to easily convert the Bioconductor "Experiment" classes to loom files and vice versa.

This package provides a toolkit for building modeling frameworks like Active Record. ActiveSupport handles attributes, callbacks, validations, serialization, internationalization, and testing.

Orderedhash is a Ruby library providing a hash implementation that preserves the order of items and features some array-like extensions.

Multihashes provides a simple, low-level multihash implementation for Ruby. A multihash is a digest with an embedded hash function code

Easy to use interface for conducting meta-analysis in R. This package is an Rcmdr-plugin, which allows the user to conduct analyses in a menu-driven, graphical user interface environment (e.g., CMA, SPSS). It uses recommended procedures as described in The Handbook of Research Synthesis and Meta-Analysis (Cooper, Hedges, & Valentine, 2009).

This package provides a carbon-water coupled model (TRIPLEX-CW-Flux) is based on two well-established models, TRIPLEX-Flux model and Penmanâ Monteith model, integrates soil water and water vapor pressure deficits into the stomata conductance submodule to estimate net ecosystem production and evapotranspiration in forest ecosystems.<https://github.com/ShulanSun/rTRIPLEX_CW_Flux>.

This repository contains the sources and CMake build system for a set of AMD specific device-side language runtime libraries.

Collect your data on digital marketing campaigns from Facebook Leads Ads using the Windsor.ai API <https://windsor.ai/api-fields/>.

This package provides a dummy package to demonstrate how to interface to a jar file that resides inside an R package.

Reliability of (normal) stress-strength models and for building two-sided or one-sided confidence intervals according to different approximate procedures.

Get programmatic access to data from the Czech public budgeting and accounting database, Státnà pokladna <https://monitor.statnipokladna.gov.cz/>.

This package implements additional operators for computer vision models, including operators necessary for image segmentation and object detection deep learning models.

Dual transcriptional activator and repressor roles of TBX20 regulate adult cardiac structure and function. A subset of the RNA-Seq data.

This package provides model selection tools and selfStart functions to fit parametric curves in the nls, nlsList and nlme frameworks.

QuantLib bindings are provided for R using Rcpp via an updated variant of the header-only Quantuccia project (put together initially by Peter Caspers) offering an essential subset of QuantLib (and now maintained separately for the calendaring subset). See the included file AUTHORS for a full list of contributors to both QuantLib and Quantuccia'.