This is an unofficial LaTeX package to generate titlepages for the Radboud University, Nijmegen. It uses official vector logos from the university.

This package provides functions to download and treat data regarding the Brazilian Amazon region from a variety of official sources.

Aids practitioners to optimally design experiments that measure the slope divided by the intercept and provides confidence intervals for the ratio.

Perform structural reliability analysis, including computation and simulation with system signatures, Samaniego (2007) <doi:10.1007/978-0-387-71797-5>, and survival signatures, Coolen and Coolen-Maturi (2013) <doi:10.1007/978-3-642-30662-4_8>. Additionally supports parametric and topological inference given system lifetime data, Aslett (2012) <https://www.louisaslett.com/PhD_Thesis.pdf>.

This package provides functionality for running and comparing many different clusterings of single-cell sequencing data or other large mRNA expression data sets.

The sys-filesystem library provides a cross-platform interface for gathering file system information, such as disk space and mount points.

Terminal Table is a fast and simple, yet feature rich table generator written in Ruby. It supports ASCII and Unicode formatted tables.

Collect and normalize local microinverter energy and power production data through off-cloud API requests. Currently supports APSystems', Enphase', and Fronius microinverters.

Utility-belt to build form data request bodies. Provides support for `application/x-www-form-urlencoded` and `multipart/form-data` types.

CountDownLatch is a synchronization aid that allows one or more threads to wait until a set of operations being performed in other threads completes.

It uses the overlap between enriched and non-enriched datasets to compensate for the bias introduced in global phosphorylation after applying median normalization.

This package works analogous to BiocManager but for Docker images. Use the BiocDockerManager package to install and manage Docker images provided by the Bioconductor project.

Ruby Electric mode accelerates code writing in Ruby by making some keys electric and automatically supplying with closing parentheses and end as appropriate.

This package provides an OTP library to be used for CT log outputs you want to be readable around all that noise they contain.

File::Find::Rule is a friendlier interface to File::Find. It allows you to build rules which specify the desired files and directories.

This package provides a plugin for Pytest which adds the ability to retry flaky tests, thereby improving the consistency of the test suite results.

This package can speed up Test::Unit, RSpec, Cucumber, and Spinach tests by running them concurrently across multiple CPU cores.

An S3 class groupedHyperframe that inherits from hyper data frame. Batch processes and aggregation of hyper column(s) over a nested grouping structure.

Control your keyboard and mouse with R code by simulating key presses and mouse clicks. The input simulation is implemented with the Windows API.

This package provides SummarizedExperiment-like containers for storing and manipulating dimensionally-reduced assay data. The ReducedExperiment classes allow users to simultaneously manipulate their original dataset and their decomposed data, in addition to other method-specific outputs like feature loadings. Implements utilities and specialised classes for the application of stabilised independent component analysis (sICA) and weighted gene correlation network analysis (WGCNA).

This is a package to perform the Adaptive Robust Regression method (ARRm) for the normalization of methylation data from the Illumina Infinium HumanMethylation 450k assay.

This package provides high performance functions for row and column operations on sparse matrices. Currently, the optimizations are limited to data in the column sparse format.

This package provides a Mocha adapter for Bacon, allowing you to use the Mocha stubbing and mocking library with Bacon, a small RSpec clone.

Pretrained models for scAnnotatR package. These models can be used to automatically classify several (immune) cell types in human scRNA-seq data.