This package performs search for the global minimum of a very complex non-linear objective function with a very large number of optima.

This package provides tools for functional linear modeling and analysis of actigraphy data.

This package provides routines for the analysis of indirectly measured haplotypes. The statistical methods assume that all subjects are unrelated and that haplotypes are ambiguous (due to unknown linkage phase of the genetic markers). The main functions are: haplo.em(), haplo.glm(), haplo.score(), and haplo.power(); all of which have detailed examples in the vignette.

This is a dedicated package to WELL pseudo random generators, which were introduced in Panneton et al. (2006), ``Improved Long-Period Generators Based on Linear Recurrences Modulo 2'', ACM Transactions on Mathematical Software.

This package provides an extensible framework for the efficient calculation of auto- and cross-proximities, along with implementations of the most popular ones.

This package provides features to build gradient color maps.

This package provides a complete analysis pipeline for matrix-assisted laser desorption/ionization-time-of-flight (MALDI-TOF) and other two-dimensional mass spectrometry data. In addition to commonly used plotting and processing methods it includes distinctive features, namely baseline subtraction methods such as morphological filters (TopHat) or the statistics-sensitive non-linear iterative peak-clipping algorithm (SNIP), peak alignment using warping functions, handling of replicated measurements as well as allowing spectra with different resolutions.

This package provides an mlr3 extension that provides various resampling-based confidence interval (CI) methods for estimating the generalization error. These CI methods are implemented as mlr3 measures, enabling the evaluation of individual algorithms on specific tasks as well as the comparison of different learning algorithms.

This package provides an interface from R to Python modules, classes, and functions. When calling into Python, R data types are automatically converted to their equivalent Python types. When values are returned from Python to R they are converted back to R types.

This package provides a toolkit for all URL-handling needs, including encoding and decoding, parsing, parameter extraction and modification. All functions are designed to be both fast and entirely vectorized. It is intended to be useful for people dealing with web-related datasets, such as server-side logs, although may be useful for other situations involving large sets of URLs.

This package lets you compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and machine learning models in R. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference. Details can be found in Arel-Bundock, Greifer, and Heiss (2024) <doi:10.18637/jss.v111.i09>.

In order to create smooth animation between states of data, tweening is necessary. This package provides a range of functions for creating tweened data that can be used as basis for animation. Furthermore it adds a number of vectorized interpolaters for common R data types such as numeric, date and color.

Phangorn is a package for phylogenetic analysis in R. It supports estimation of phylogenetic trees and networks using Maximum Likelihood, Maximum Parsimony, distance methods and Hadamard conjugation.

This package provides a complete GCC cross toolchain for C/C++ development to be installed in user profiles. This includes GCC, as well as libc (headers and binariesl), and Binutils. GCC is the GNU Compiler Collection.

This package provides a complete GCC cross toolchain for C/C++ development to be installed in user profiles. This includes GCC, as well as libc (headers and binariesl), and Binutils. GCC is the GNU Compiler Collection.

This package provides a complete GCC cross toolchain for C/C++ development to be installed in user profiles. This includes GCC, as well as libc (headers and binariesl), and Binutils. GCC is the GNU Compiler Collection.

This package provides a complete GCC cross toolchain for C/C++ development to be installed in user profiles. This includes GCC, as well as libc (headers and binariesl), and Binutils. GCC is the GNU Compiler Collection.

This package provides a complete GCC cross toolchain for C/C++ development to be installed in user profiles. This includes GCC, as well as libc (headers and binariesl), and Binutils. GCC is the GNU Compiler Collection.

libscrypt implements scrypt key derivation function. It is designed to be far more secure against hardware brute-force attacks than alternative functions such as PBKDF2 or bcrypt.

mkp224o generates valid ed25519 (hidden service version 3) onion addresses. It allows one to produce customized vanity .onion addresses using a brute-force method.

This package provides a crate to sign files and verify signatures.

ISAAC (Indirection, Shift, Accumulate, Add, and Count) is a fast pseudo-random number generator. It is suitable for applications where a significant amount of random data needs to be produced quickly, such as solving using the Monte Carlo method or for games. The results are uniformly distributed, unbiased, and unpredictable unless you know the seed.

This package implements the same interface as Math::Random::ISAAC.

Transcrypt is a script to configure transparent encryption of sensitive files stored in a Git repository. Files that you choose will be automatically encrypted when you commit them, and automatically decrypted when you check them out. The process will degrade gracefully, so even people without your encryption password can safely commit changes to the repository's non-encrypted files.

stoken is a token code generator compatible with RSA SecurID 128-bit (AES) tokens. This package contains a standalone command-line program that allows for importing token seeds, generating token codes, and various utility/testing functions.