This package provides a data package of SELDI-TOF protein mass spectrometry data of 167 breast cancer and normal samples.

This package provides datasets to accompany J. Fox and S. Weisberg, An R Companion to Applied Regression, Third Edition, Sage.

This package provides basic infrastructure for linear test statistics and permutation inference in the framework of Strasser and Weber (1999).

This package provides a replication of key functionality from dplyr and the wider tidyverse using only base.

This package provides a Rust interface to the user-space API of the Mach 3.0 kernel that underlies OSX.

This package provides a Rust interface to the user-space API of the Mach 3.0 kernel that underlies OSX.

Monitor a hardware random number generator, and supply entropy from that to the system kernel's /dev/random machinery.

CBOR is a library for the CBOR format, based on Sadayuki Furuhashi's MessagePack library.

Yell is a comprehensive logging replacement for Ruby. It defines multiple adapters, various log level combinations and message formatting options.

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.

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>.

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.

The MOSAICbioacc application is a turnkey package providing bioaccumulation factors (BCF/BMF/BSAF) from a toxicokinetic (TK) model fitted to accumulation-depuration data. It is designed to fulfil the requirements of regulators when examining applications for market authorization of active substances. See Ratier et al. (2021) <doi:10.1101/2021.09.08.459421>.

Create APA style text from analyses for use within R Markdown documents. Descriptive statistics, confidence intervals, and cell sizes are reported.

Client package for the AWS Key Management Service <https://aws.amazon.com/kms/>, a cloud service for managing encryption keys.

Animate Shiny and R Markdown content when it comes into view using animate-css effects thanks to jQuery AniView'.

Use Newton's method, coordinate descent, and METIS clustering to solve the L1 regularized Gaussian MLE inverse covariance matrix estimation problem.

The CloudOS client library for R makes it easy to interact with CloudOS in the R environment for analysis.

It provides functions to bootstrap Credit Curves from market quotes (Credit Default Swap - CDS - spreads) and price Credit Default Swaps - CDS.

Data sets and sample analyses from Jay L. Devore (2008), "Probability and Statistics for Engineering and the Sciences (7th ed)", Thomson.

Design, conduct and analyze DCEs from a virtual interface in shiny. Reference: Perez-Troncoso, D. (2022) <https://github.com/danielpereztr/DCEtool>.

Offers robust tools to identify and manage incomplete responses in survey datasets, thereby enhancing the quality and reliability of research findings.

Shows you which rows have changed between two data frames with the same column structure. Useful for diffing slowly mutating data.