node-lib0

Monorepo of isomorphic utility functions

This library is meant to replace all global JavaScript functions with isomorphic module imports. Additionally, it implements several performance-oriented utility modules. Most noteworthy are the binary encoding/decoding modules lib0/encoding and lib0/decoding, the randomized testing framework lib0/testing, the fast Pseudo Random Number Generator lib0/PRNG, the small socket.io alternative lib0/websocket, and the logging module lib0/logging that allows colorized logging in all environments.

libjs-terser

parser/mangler/compressor for ES6+ - browser library

Terser is a parser, mangler, optimizer and beautifier toolkit for ECMAScript 2015 and newer (ES6+).

picolibc-aarch64-linux-gnu

Smaller embedded C library for 64-bit ARM development

PicoLibc is a combination of Newlib and AVR libc bits designed for small-RAM embedded systems. This package has binaries for ARM 64-bit processors.

python3-pyfftw

Pythonic wrapper around FFTW - Python 3

Pythonic wrapper around FFTW, the speedy FFT library. The ultimate aim is to present a unified interface for all the possible transforms that FFTW can perform.

r-cran-dotcall64

Enhanced Foreign Function Interface Supporting Long Vectors

Provides .C64(), which is an enhanced version of .C() and .Fortran() from the foreign function interface. .C64() supports long vectors, arguments of type 64-bit integer, and provides a mechanism to avoid unnecessary copies of read-only and write-only arguments. This makes it a convenient and fast interface to C/C++ and Fortran code.

r-cran-mets

GNU R analysis of multivariate event times

Implementation of various statistical models for multivariate event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate cumulative incidence models <doi:10.1002/sim.6016>, and bivariate random effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>. Also contains two-stage binomial modelling that can do pairwise odds-ratio dependence modelling based marginal logistic regression models. This is an alternative to the alternating logistic regression approach (ALR).