This package provides R miscellaneous utilities for basic data manipulation, debugging, visualization, lsf management, and common mskilab tasks.

This package provides selected commonly used methods for choosing univariate class intervals for mapping or other graphics purposes.

This package provides model-robust standard error estimators for cross-sectional, time series, clustered, panel, and longitudinal data.

This package provides a toolkit with infrastructure for representing, summarizing, and visualizing tree-structured regression and classification models.

This package creates alluvial diagrams (also known as parallel sets plots) for multivariate and time series-like data.

This package provides an easy way to fill an environment with active bindings that call a C++ function.

This package provides a testing framework for Rust which enhances the built-in library with some useful features.

This package provides a portable implementation of getch, using _getch on Windows, and termios on Unix.

This package provides a testing framework for Rust which enhances the built-in library with some useful features.

This package provides an event-driven, non-blocking I/O platform for writing asynchronous I/O backed applications.

This package provides a testing framework for Rust which enhances the built-in library with some useful features.

This package provides an event-driven, non-blocking I/O platform for writing asynchronous I/O backed applications.

This package provides an event-driven, non-blocking I/O platform for writing asynchronous I/O backed applications.

This package provides an event-driven, non-blocking I/O platform for writing asynchronous I/O backed applications.

Transfer REDCap (Research Electronic Data Capture) data to a database with additional support for DuckDB'. Processes data in chunks to handle large datasets without exceeding available memory. Features include resuming incomplete transfers, automatically converting data types for DuckDB', tracking progress, and logging operations in the database.

This package provides a wrapper for the Intro.js library. This package makes it easy to include step-by-step introductions, and clickable hints in a Shiny application. It supports both static introductions in the UI, and programmatic introductions from the server-side.

RcppDist provides a header-only C++ library with functions for additional statistical distributions that can be called from C++ when writing code using Rcpp or RcppArmadillo. Functions are available that return a NumericVector as well as doubles, and for multivariate or matrix distributions, Armadillo vectors and matrices.

This package provides a RESTful API wrapper for accessing the GENESIS database of the German Federal Statistical Office (Destatis) as well as its Census Database and the database of Germany's regional statistics. Supports data search functions, credential management, result caching, and handling remote background jobs for large datasets.

Discretize AR(1) process following Tauchen (1986) <http://www.sciencedirect.com/science/article/pii/0165176586901680>. A discrete Markov chain that approximates in the sense of weak convergence a continuous-valued univariate Autoregressive process of first order is generated. It is a popular method used in economics and in finance.

Perform wavelet analysis (orthogonal,translation invariant, tensorial, 1-2-3d transforms, thresholding, block thresholding, linear,...) with applications to data compression or denoising/regression. The core of the code is a port of MATLAB Wavelab toolbox written by D. Donoho, A. Maleki and M. Shahram (<https://statweb.stanford.edu/~wavelab/>).

Interface to use and access Wilensky's NetLogo (Wilensky 1999) from R using either headless (no GUI) or interactive GUI mode. Provides functions to load models, execute commands, and get values from reporters. Mostly analogous to the NetLogo Mathematica Link <https://github.com/NetLogo/Mathematica-Link>.

Exploration of pharmacometrics data involves both general tools (transformation and plotting) and specific techniques (non-compartmental analysis). This kind of exploration is generally accomplished by utilizing different packages. The purpose of ruminate is to create a shiny interface to make these tools more broadly available while creating reproducible results.

raerdata is an ExperimentHub package that provides a collection of files useful for demostrating functionality in the raer package. Datasets include 10x genomics scRNA-seq, bulk RNA-seq, and paired whole-genome and RNA-seq data. Additionally databases of human and mouse RNA editing sites are provided.

Self-configuring, encrypted and resilient mesh networking stack for LoRa, packet radio, WiFi and everything in between.