This package provides a fast, non-cryptographic, minimally DoS-resistant hashing algorithm.

Infrastructure for measuring the total runtime size of an object on the heap.

This package provides preferred system exit codes as defined by sysexits.h.

This package provides a Rust library that combines property-based testing and fuzzing.

This package provides a trie for storing Unicode codepoint sets and maps.

This package provides Low-level bindings to the PC/SC C API.

This package provides a parser and evaluator for Rust cfg() expressions.

This package provides the low-level `io_uring` userspace interface for Rust.

This package gets the user home directory in a cross-platform way.

This package provides a parser and evaluator for Rust cfg() expressions.

This package verifies the connectivity and validity of objects in the database.

This package provides a tiny, safe, speedy, zero-copy HTTP/1.x parser.

This package lets you get network adapters information and network configuration for Windows.

Rust bindings to the Windows SChannel APIs providing TLS client and server functionality.

This package lets you get network adapters information and network configuration for Windows.

HashDiff is a Ruby library to compute the smallest difference between two hashes.

This package provides a tool for generating C/C++ bindings to Rust code.

This package provides a tool for generating C/C++ bindings to Rust code.

This package provides a tool for generating C/C++ bindings to Rust code.

This package provides a tool for generating C/C++ bindings to Rust code.

This package provides a tool for generating C/C++ bindings to Rust code.

This package provides a tool for generating C/C++ bindings to Rust code.

This package contains all the code examples in the book "R for Dummies" (2nd edition) by Andrie de Vries and Joris Meys. You can view the table of contents as well as the sample code for each chapter.

Proper L2-penalized maximum likelihood estimators for precision matrices and supporting functions to employ these estimators in a graphical modeling setting. For details, see Peeters, Bilgrau, & van Wieringen (2022) <doi:10.18637/jss.v102.i04> and associated publications.