This package implements an empirical Bayes approach for large-scale hypothesis testing and false discovery rate estimation.

This package lets you manage configuration values across multiple environments (e.g. development, test, production). It reads values using a function that determines the current environment and returns the appropriate value.

Artificial Bee Colony (ABC) is one of the most recently defined algorithms by Dervis Karaboga in 2005, motivated by the intelligent behavior of honey bees. It is as simple as Particle Swarm Optimization (PSO) and Differential Evolution (DE) algorithms, and uses only common control parameters such as colony size and maximum cycle number. The r-abcoptim implements the Artificial bee colony optimization algorithm http://mf.erciyes.edu.tr/abc/pub/tr06_2005.pdf. This version is a work-in-progress and is written in R code.

This package provides classes and methods for dense and sparse matrices and operations on them using LAPACK and SuiteSparse.

Provide nonparametric methods for mean regression model, modal regression and conditional density estimation in the presence/absence of measurement error. Bandwidth selection is also provided for each method.

This package provides functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal data. It was designed for processes observed at arbitrary times in continuous time (panel data) but some other observation schemes are supported. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates, which may be constant or piecewise-constant in time.

This package provides an R interface to the nanoarrow C library and the Apache Arrow application binary interface. Functions to import and export ArrowArray, ArrowSchema, and ArrowArrayStream C structures to and from R objects are provided alongside helpers to facilitate zero-copy data transfer among R bindings to libraries implementing the Arrow C data interface.

This package provides tools for performing the leaf reordering for the dendrogram that preserves the hierarchical clustering result and at the same time tries to group instances from the same class together.

This package provides an implementation of scatter plots for plotting. a three dimensional point cloud.

This package provides procedures for fitting a principal curve to a data matrix in arbitrary dimensions.

This package provides a simple yet powerful logging utility. Based loosely on log4j, futile.logger takes advantage of R idioms to make logging a convenient and easy to use replacement for cat and print statements.

This package provides several layout algorithms to visualize networks which are not part of the igraph library. Most are based on the concept of stress majorization by Gansner et al. (2004) <doi:10.1007/978-3-540-31843-9_25>. Some more specific algorithms emphasize hidden group structures in networks or focus on specific nodes.

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.

Optimized C library for cryptographic operations on curve secp256k1.

This library is used for consensus critical cryptographic operations on the Bitcoin Cash network.

Features:

• secp256k1 ECDSA signing/verification and key generation.

• secp256k1 Schnorr signing/verification (Bitcoin Cash Schnorr variant).

• Additive and multiplicative tweaking of secret/public keys.

• Serialization/parsing of secret keys, public keys, signatures.

• Constant time, constant memory access signing and pubkey generation.

• Derandomized ECDSA (via RFC6979 or with a caller provided function).

• Very efficient implementation.

• Suitable for embedded systems.

• Optional module for public key recovery.

• Optional module for ECDH key exchange (experimental).

• Optional module for multiset hash (experimental).

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.

BLAKE2 is a cryptographic hash function faster than MD5, SHA-1, SHA-2, and SHA-3, yet is at least as secure as SHA-3.

CryFS encrypts your files, so you can safely store them anywhere. It works well together with cloud services like Dropbox, iCloud, OneDrive and others. CryFS creates an encrypted userspace filesystem that can be mounted via FUSE without root permissions. It is similar to EncFS, but provides additional security and privacy measures such as hiding file sizes and directory structure. However CryFS is not considered stable yet by the developers.

The Olm library implements the Double Ratchet cryptographic ratchet. This package contains its Python bindings.

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.

Optimized C library for EC operations on curve secp256k1.

Features:

• secp256k1 ECDSA signing/verification and key generation.

• Additive and multiplicative tweaking of secret/public keys.

• Serialization/parsing of private keys, public keys, signatures.

• Constant time, constant memory access signing and public key generation.

• Derandomized ECDSA (via RFC6979 or with a caller provided function.)

• Very efficient implementation.

• Suitable for embedded systems.

• No runtime dependencies.

• Optional module for public key recovery.

• Optional module for ECDH key exchange.

• Optional module for Schnorr signatures according to BIP-340.