BitReader helps reading individual bits from a slice of bytes. You can read an arbitrary numbers of bits from the byte slice, for example 13 bits at once. The reader internally keeps track of position within the buffer.

This package provides a way to set up a plugin registry into which plugins can be registered from any source file linked into your program. There does not need to be a central list of all the plugins.

This package provides two new cell-like types, unsync::OnceCell and sync::OnceCell. OnceCell might store arbitrary non-copy types, can be assigned to at most once and provide direct access to the stored contents.

This package provides a way to set up a plugin registry into which plugins can be registered from any source file linked into your program. There does not need to be a central list of all the plugins.

This package provides a way to set up a plugin registry into which plugins can be registered from any source file linked into your program. There does not need to be a central list of all the plugins.

This package provides a set of udev rules to specify the proper privileges for flashing QMK compatible devices without needing root. The rules require the group plugdev to be added to each user that needs this.

This package provides a set of Study Data Tabulation Model (SDTM) datasets from the Clinical Data Interchange Standards Consortium (CDISC) pilot project used for testing and developing Analysis Data Model (ADaM) derivations inside the admiral package.

Generation of samples from a mix of binary, ordinal and continuous random variables with a pre-specified correlation matrix and marginal distributions. The details of the method are explained in Demirtas et al. (2012) <DOI:10.1002/sim.5362>.

This package provides the estimation algorithm to perform the demand estimation described in Berry, Levinsohn and Pakes (1995) <DOI:10.2307/2171802> . The routine uses analytic gradients and offers a large number of implemented integration methods and optimization routines.

This package provides a daily summary of the Coronavirus (COVID-19) cases in Switzerland cantons and Principality of Liechtenstein. Data source: Specialist Unit for Open Government Data Canton of Zurich <https://www.zh.ch/de/politik-staat/opendata.html>.

An R package for creating panels of diagnostic plots for residuals from a model using ggplot2 and plotly to analyze residuals and model assumptions from a variety of viewpoints. It also allows for the creation of interactive diagnostic plots.

The healthyverse is a set of packages that work in harmony because they share common data representations and API design. This package is designed to make it easy to install and load multiple healthyverse packages in a single step.

Computation of test statistics of independence between (continuous) innovations of time series. They can be used with stochastic volatility models and Hidden Markov Models (HMM). This improves the results in Duchesne, Ghoudi & Remillard (2012) <doi:10.1002/cjs.11141>.

This package provides a function for fitting cumulative link, adjacent category, forward and backward continuation ratio, and stereotype ordinal response models when the number of parameters exceeds the sample size, using the the generalized monotone incremental forward stagewise method.

This package performs fast variable selection in high-dimensional settings while controlling the false discovery rate (FDR) at a user-defined target level. The package is based on the paper Machkour, Muma, and Palomar (2022) <arXiv:2110.06048>.

It analyzes text to create a count of top n-grams, including tokens (one-word), bigrams(two-word), and trigrams (three-word), while removing all stopwords. It also plots the n-grams and corresponding counts as a bar chart.

This package provides classes and methods for trajectory data, with support for nesting individual Track objects in track sets (Tracks) and track sets for different entities in collections of Tracks. Methods include selection, generalization, aggregation, intersection, simulation, and plotting.

This package implements exact and approximate methods for singular value decomposition and principal components analysis, in a framework that allows them to be easily switched within Bioconductor packages or workflows. Where possible, parallelization is achieved using the BiocParallel framework.

This R package enables the user to read pfam predictions into R. Most human protein domains exist as multiple distinct variants termed domain isotypes. This R package enables the identification and classification of such domain isotypes from pfam data.

This is a collection of utility functions for Seurat. These functions allow the automation and multiplexing of plotting, 3D plotting, visualization of statistics & QC, interaction with the Seurat object. Some functionalities require functions from CodeAndRoll and MarkdownReports libraries.

This package implements multiple performance measures for supervised learning. It includes over 40 measures for regression and classification. Additionally, meta information about the performance measures can be queried, e.g. what the best and worst possible performances scores are.

This package provides an improved implementation (based on k-nearest neighbors) of the density peak clustering algorithm, originally described by Alex Rodriguez and Alessandro Laio (Science, 2014 vol. 344). It can handle large datasets (> 100,000 samples) very efficiently.

UpSet plots are an improvement over Venn Diagram for set overlap visualizations. Striving to bring the best of the UpSetR and ggplot2, this package offers a way to create complex overlap visualisations, using simple and familiar tools.

This package is a const-friendly implementation of the ISO/IEC Object Identifier (OID) standard as defined in ITU X.660, with support for BER/DER encoding/decoding as well as heapless no_std (i.e., embedded) support.