Making available in R the complete set of programs accompanying S. Wellek's (2010) monograph Testing Statistical Hypotheses of Equivalence and Noninferiority. Second Edition (Chapman&Hall/CRC).

Defines a collection of functions to compute average power and sample size for studies that use the false discovery rate as the final measure of statistical significance.

These sample data sets are intended for historians learning R. They include population, institutional, religious, military, and prosopographical data suitable for mapping, quantitative analysis, and network analysis.

This package contains some important regression methods for interval-valued variables. For each method, it is available the fitted values, residuals and some goodness-of-fit measures.

Implementation of imputation techniques based on locally stationary wavelet time series forecasting methods from Wilson, R. E. et al. (2021) <doi:10.1007/s11222-021-09998-2>.

66 data sets that were imported using read.table() where appropriate but more commonly after converting to a csv file for importing via read.csv().

Cleans and Normalizes FLUOstar DBF and DAT Files obtained from liposome flux assays. Users should verify extended usage of the package on files from other assay types.

This package provides a set of functions for obtaining positional parameters and magnitude difference between components of binary and multiple stellar systems from series of speckle images.

This package implements the diffusion map method of dimensionality reduction and spectral method of combining multiple diffusion maps, including creation of the spectra and visualization of maps.

This package provides a set of Rmarkdown themes for creating scientific and professional documents. Simple interface with features to ease navigation across the page and sub-pages.

This package implements the Maximum Likelihood estimator for baseline, placebo, and treatment groups (three-group) experiments with non-compliance proposed by Gerber, Green, Kaplan, and Kern (2010).

This package provides diverse datasets in the tsibble data structure. These datasets are useful for learning and demonstrating how tidy temporal data can tidied, visualised, and forecasted.

Allows registered VectorSurv <https://vectorsurv.org/> users access to data through the VectorSurv API <https://api.vectorsurv.org/>. Additionally provides functions for analysis and visualization.

The TreeAndLeaf package combines unrooted and force-directed graph algorithms in order to layout binary trees, aiming to represent multiple layers of information onto dendrogram leaves.

Read bigWig and bigBed files using libBigWig. This package provides lightweight access to the binary bigWig and bigBed formats developed by the UCSC Genome Browser group.

Bio::Kseq provides ruby bindings to the kseq.h FASTA and FASTQ parsing code. It provides a fast iterator over sequences and their quality scores.

This is a lightweight package for computing different kinds of correlations. These correlations include partial correlations, Bayesian correlations, multilevel correlations, polychoric correlations, biweight correlations, distance correlations and more.

This package provides functionality to benchmark your CPU and compare against other CPUs. Also provides functions for obtaining system specifications, such as RAM, CPU type, and R version.

Parinfer is a plugin for Kakoune, Vim, Neovim and Emacs that infers parentheses and indentation. This library can be called from other editors that can load dynamic libraries.

The R package rareMETALS2 is an extension of the R package rareMETALS. It was designed to meta-analyze gene-level association tests for binary trait. While rareMETALS offers a near-complete solution for meta-analysis of gene-level tests for quantitative trait, it does not offer the optimal solution for binary trait. The package rareMETALS2 offers improved features for analyzing gene-level association tests in meta-analyses for binary trait.

This package contains a collection of helper functions to use with rbi', the R interface to LibBi', described in Murray et al. (2015) <doi:10.18637/jss.v067.i10>. It contains functions to adapt the proposal distribution and number of particles in particle Markov-Chain Monte Carlo, as well as calculating the Deviance Information Criterion (DIC) and converting between times in LibBi results and R time/dates.

This package implements the scenario analysis proposed by Antolin-Diaz, Petrella and Rubio-Ramirez (2021) "Structural scenario analysis with SVARs" <doi:10.1016/j.jmoneco.2020.06.001>.

Static code analysis of box modules. The package enhances code quality by providing linters that check for common issues, enforce best practices, and ensure consistent coding standards.

Access the Cumulocity API and retrieve data on devices, measurements, and events. Documentation for the API can be found at <https://www.cumulocity.com/guides/reference/rest-implementation/>.