This package aims to provide the most useful subset of Boost libraries for template use among CRAN packages.

This package provides a cross-platform interface to file system operations, built on top of the libuv C library.

This package provides a set of functions to estimate capture probabilities and densities from multipass pass removal data.

RCCL (ROCm Communication Collectives Library) is a library for collective communication on GPUs, such as reduce, gather or scatter operations.

Flexibly convert data between long and wide format using just two functions: reshape_toLong() and reshape_toWide().

Provide functions for forest inventory calculations. Common volumetric equations (Smalian, Newton and Huber) as well stacking factor and form.

Software accompanying Gary King's book: A Solution to the Ecological Inference Problem. (1997). Princeton University Press. ISBN 978-0691012407.

rot8 is a daemon that automates rotating screen and associated input devices using the built-in accelerometer; handy for convertible touchscreen devices.

This package provides non-parametric (and semi-parametric) kernel methods that seamlessly handle a mix of continuous, unordered, and ordered factor data types.

This package implements Barzilai-Borwein spectral methods for solving nonlinear system of equations, and for optimizing nonlinear objective functions subject to simple constraints.

Rofi is a minimalist application launcher. It memorizes which applications you regularly use and also allows you to search for an application by name.

It provides tools for conducting performance attribution for equity portfolios. The package uses two methods: the Brinson method and a regression-based analysis.

The ps package implements an API to list, query, and manipulate system processes. Most of its code is based on the psutil Python package.

This package provides methods for data engineering in the human resources (HR) corporate domain. Designed for HR analytics practitioners and workforce-oriented data sets.

This package provides a new way to predict time series using the marginal distribution table in the absence of the significance of traditional models.

Estimates optimal classification (Poole 2000) <doi:10.1093/oxfordjournals.pan.a029814> scores from roll call votes supplied though a rollcall object from package pscl'.

RAJA offers portable, parallel loop execution by providing building blocks that extend the generally-accepted parallel for idiom. RAJA relies on standard C++14 features.

This package provides kernel smoothers for univariate and multivariate data, including density functions, density derivatives, cumulative distributions, modal clustering, discriminant analysis, and two-sample hypothesis testing.

The R6 package allows the creation of classes with reference semantics, similar to R's built-in reference classes. Compared to reference classes, R6 classes are simpler and lighter-weight, and they are not built on S4 classes so they do not require the methods package. These classes allow public and private members, and they support inheritance, even when the classes are defined in different packages.

This package provides data structures that are stored on disk but behave (almost) as if they were in RAM by transparently mapping only a section in main memory.

This package provides a comprehensive package to aid in the analysis of blood pressure data of all forms by providing both descriptive and visualization tools for researchers.

One function to read files. One function to write files. One function to direct plots to screen or file. Automatic file format inference and directory structure creation.

This package provides access to a high performant random distribution sampler for the Polya Gamma Distribution using either C++ headers for Rcpp or RcppArmadillo and R'.

This package provides a comprehensive set of regular expression functions based on those found in Python without relying on reticulate'. It provides functions that intend to (1) make it easier for users familiar with Python to work with regular expressions, (2) reduce the complexity often associated with regular expressions code, (3) and enable users to write more readable and maintainable code that relies on regular expression-based pattern matching.