This package provides a set of visual input controls for Shiny apps to facilitate filtering across multiple outputs.

This package contains a set of functions for working with Random Number Generators (RNGs). In particular, it defines a generic S4 framework for getting/setting the current RNG, or RNG data that are embedded into objects for reproducibility. Notably, convenient default methods greatly facilitate the way current RNG settings can be changed.

The recount3 package enables access to a large amount of uniformly processed RNA-seq data from human and mouse. You can download RangedSummarizedExperiment objects at the gene, exon or exon-exon junctions level with sample metadata and QC statistics. In addition we provide access to sample coverage BigWig files.

This package provides methods readMat() and writeMat() for reading and writing MAT files. For user with MATLAB v6 or newer installed (either locally or on a remote host), the package also provides methods for controlling MATLAB (trademark) via R and sending and retrieving data between R and MATLAB.

Combine multiple data files from a common directory. The data files will be read into R and bound together, creating a single large data.frame. A general function is provided along with a specific function for data that was collected using the open-source experiment builder OpenSesame <https://osdoc.cogsci.nl/>.

The provided package implements the statistical tests for the functional repeated measures analysis problem (Kurylo and Smaga, 2023, <arXiv:2306.03883>). These procedures enable us to verify the overall hypothesis regarding equality, as well as hypotheses for pairwise comparisons (i.e., post hoc analysis) of mean functions corresponding to repeated experiments.

Implementation of the metalog distribution in R. The metalog distribution is a modern, highly flexible, data-driven distribution. Metalogs are developed by Keelin (2016) <doi:10.1287/deca.2016.0338>. This package provides functions to build these distributions from raw data. Resulting metalog objects are then useful for exploratory and probabilistic analysis.

This package is designed to facilitate the automated gating methods in a sequential way to mimic the manual gating strategy.

This package provides a package that makes it easy to implement sankey, alluvial and sankey bump plots in ggplot2.

This R tool infers, visualizes, and analyzes cell-cell communication networks. It supports scRNA-seq and spatially resolved transcriptomics data.

This package provides an R library to generate Sankey network graphs in R and Shiny via the D3 visualization library.

This package fits multivariate generalized linear mixed models and related models. This is done using Markov chain Monte Carlo techniques.

This package provides beanplots, an alternative to boxplot/stripchart/violin plots. It can be used to plot univariate comparison graphs.

Base annotation databases for worm, intended ONLY to be used by AnnotationDbi to produce regular annotation packages.

This package provides a robust framework for analyzing mortality data from bioassays for one or several strains/lines/populations.

The backtest package provides facilities for exploring portfolio-based conjectures about financial instruments (stocks, bonds, swaps, options, et cetera).

This package provides a simple way to assess the stability of candidate housekeeping genes is implemented in this package.

Formal psychological models of categorization and learning, independently-replicated data sets against which to test them, and simulation archives.

Providing more beautiful and more meaningful return messages for checkmate assertions and checks helping users to better understand errors.

Shiny modules to import data into an application or addin from various sources, and to manipulate them after that.

This package provides tools for training and practicing epidemiologists including methods for two-way and multi-way contingency tables.

Evolutionary process simulation using geometric morphometric data. Manipulation of landmark data files (TPS), shape plotting and distances plotting functions.

Fast functions for timestamp manipulation that avoid system calls and take shortcuts to facilitate operations on very large data.

This package creates dynamic grid layouts of images that can be included in Shiny applications and R markdown documents.