This package provides a violin plot, which is a combination of a box plot and a kernel density plot.
The tkrplot package lets you place R graphics in a Tk, cross-platform graphical user interface toolkit widget.
This package provides an abstraction allowing borrowed data to be carried along with the backing data it borrows from.
This package provides a zero overhead I/O library for Windows, focusing on IOCP and Async I/O abstractions.
This package provides a zero overhead I/O library for Windows, focusing on IOCP and Async I/O abstractions.
This package provides a zero overhead I/O library for Windows, focusing on IOCP and Async I/O abstractions.
This package provides a zero overhead I/O library for Windows, focusing on IOCP and Async I/O abstractions.
This package provides a zero overhead I/O library for Windows, focusing on IOCP and Async I/O abstractions.
Rove is a unit testing framework for Common Lisp applications. This is intended to be a successor of Prove.
Slim is a template language for Ruby that aims to reduce the syntax to the minimum while remaining clear.
This package provides tools for randomization-based inference. Current focus is on the d^2 omnibus test of differences of means following Hansen and Bowers (2008) <doi:10.1214/08-STS254> . This test is useful for assessing balance in matched observational studies or for analysis of outcomes in block-randomized experiments.
Meta-analysis is widely used to summarize estimated effects sizes across multiple statistical tests. Standard fixed and random effect meta-analysis methods assume that the estimated of the effect sizes are statistically independent. Here we relax this assumption and enable meta-analysis when the correlation matrix between effect size estimates is known.
Easily download datasets from Kaggle <https://www.kaggle.com/> directly into your R environment using RKaggle'. Streamline your data analysis workflows by importing datasets effortlessly and focusing on insights rather than manual data handling. Perfect for data enthusiasts and professionals looking to integrate Kaggle datasets into their R projects with minimal hassle.
Implementation of an algorithm in two steps to estimate parameters of a model whose latent dynamics are inferred through latent processes, jointly regularized. This package uses Monolix software (<https://monolixsuite.slp-software.com/>), which provide robust statistical method for non-linear mixed effects modeling. Monolix must have been installed prior to use.
The APT Package Management System provides Debian and Debian-derived Linux systems with a powerful system to resolve package dependencies. This package offers access directly from R. This can only work on a system with a suitable libapt-pkg-dev installation so functionality is curtailed if such a library is not found.
Encode network data as strings of printable ASCII characters. Implemented functions include encoding and decoding adjacency matrices, edgelists, igraph, and network objects to/from formats graph6', sparse6', and digraph6'. The formats and methods are described in McKay
, B.D. and Piperno, A (2014) <doi:10.1016/j.jsc.2013.09.003>.
This package provides Poem is a full-featured and easy-to-use web framework with the Rust programming language.
This package provides Bindings to libssh2 for interacting with SSH servers and executing remote commands, forwarding local ports, etc.
This rofi plugin tries to provide an interface to the buku bookmark manager, improving on the (outdated) buku_run script.
ROCm tracer provides an API to provide functionality for registering the runtimes API callbacks and asynchronous activity records pool support.
Pure Rust implementation of the SHA-2 hash function family including SHA-224, SHA-256, SHA-384, and SHA-512.
Multi-category angle-based large-margin classifiers. See Zhang and Liu (2014) <doi:10.1093/biomet/asu017> for details.
The function \codebarcode()
produces a histogram-like plot of a distribution that shows granularity in the data.
Bayesian adaptive trial algorithm implements multiple-stage interim analysis. Package includes data generating function, and Bayesian hypothesis testing function.