This package provides an R interface to functions of the SAMtools library.

This package tests the goodness of fit of a distribution of offspring to the Normal, Poisson, and Gamma distribution and estimates the proportional paternity of the second male (P2) based on the best fit distribution.

This package implements S4 classes and various tools for financial time series. Basic functions such as scaling and sorting, subsetting, mathematical operations and statistical functions are provided.

This package provides gradient projection algorithms for factor rotation. For details see ?GPArotation.

This package implements several Approximate Bayesian Computation (ABC) algorithms for performing parameter estimation, model selection, and goodness-of-fit. Cross-validation tools are also available for measuring the accuracy of ABC estimates, and to calculate the misclassification probabilities of different models.

The ps package implements an API to list, query, and manipulate system processes. Most of its code is based on the psutil Python package.

Manage the life cycle of your exported functions with shared conventions, documentation badges, and non-invasive deprecation warnings. The lifecycle package defines four development stages (experimental, maturing, stable, and questioning) and three deprecation stages (soft-deprecated, deprecated, and defunct). It makes it easy to insert badges corresponding to these stages in your documentation. Usage of deprecated functions are signalled with increasing levels of non-invasive verbosity.

This package enables the use of emoji and the Font Awesome glyphs in both base and ggplot2 graphics.

This package provides routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.

This package provides a collection of dimensionality reduction techniques from R packages and provides a common interface for calling the methods.

This package provides tools to create and modify network objects. The network class can represent a range of relational data types, and supports arbitrary vertex/edge/graph attributes.

This package implements methods to perform fast approximate K-nearest neighbor search on the input matrix. The algorithm is based on the N2 implementation of an approximate nearest neighbor search using hierarchical NSW graphs.

This package provides an implementation of an algorithm for general-purpose unconstrained non-linear optimization. The algorithm is of quasi-Newton type with BFGS updating of the inverse Hessian and soft line search with a trust region type monitoring of the input to the line search algorithm. The interface of ucminf is designed for easy interchange with the package optim.

This package provides an integration of base and grid graphics for R.

This package is a collection of tools to load R packages and automatically generate BibTeX files citing them as well as load and cache plain-text and Excel formatted data stored on GitHub, and from other sources.

This package provides tools to calculate the Earth Mover's Distance (EMD).

The bit64 package provides serializable S3 atomic 64 bit (signed) integers that can be used in vectors, matrices, arrays and data.frames. Methods are available for coercion from and to logicals, integers, doubles, characters and factors as well as many elementwise and summary functions. Many fast algorithmic operations such as match and order support interactive data exploration and manipulation and optionally leverage caching.

Many approaches for both reading and creating XML (and HTML) documents (including DTDs), both local and accessible via HTTP or FTP. Also offers access to an XPath "interpreter".

Customize Bootstrap and Bootswatch themes, like colors, fonts, grid layout, to use in Shiny applications, rmarkdown documents and flexdashboard.

This package provides functions for making low-level API requests to Amazon Web Services. The functions handle building, signing, and sending requests, and receiving responses. They are designed to help build higher-level interfaces to individual services, such as Simple Storage Service (S3).

This package implements Dirichlet regression models.

This package provides functions and data sets for actuarial science: modeling of loss distributions; risk theory and ruin theory; simulation of compound models, discrete mixtures and compound hierarchical models; credibility theory. It boasts support for many additional probability distributions to model insurance loss amounts and loss frequency: 19 continuous heavy tailed distributions; the Poisson-inverse Gaussian discrete distribution; zero-truncated and zero-modified extensions of the standard discrete distributions. It also supports phase-type distributions commonly used to compute ruin probabilities.

This package contains supporting data sets that are used in other packages maintained by Torsten Hothorn.

The Ziggurat generator for normally distributed random numbers, originally proposed by Marsaglia and Tsang (2000, https://doi.org/10.18637/jss.v005.i08) has been improved upon a few times starting with Leong et al (2005, https://doi.org/10.18637/jss.v012.i07). This package provides an aggregation for comparing different implementations in order to provide a 'faster but good enough' alternative for use with R and C++ code.