Run statistics in Julia

Randomly Pivoted Cholesky algorithm, implemented in Julia

Base package that ships symbols and functionality that is relevant to all or multiple packages in the ecosystem

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Adds support for parallelization for Taija packages.

This package wraps some R libraries for fitting IRT models

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A Julia package for inverting Taylor series

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Tensor decomposition algorithms

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Fast, accurate, and flexible spectral analysis for compressible quantum fluids

A plugin of Express.jl for handling the ab initio software Quantum ESPRESSO

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An algorithm to calculate oscillatory integrals.

Implementation of the spectral energy distribution QSOSED for active galactic nuclei.

A package to handle data generated by QMSim

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Julia wrapper for the Python Rhodium package

Generalized Gaussian Quadrature Rules

A thin wrapper around the python PyMBAR

Python extensions relating to Caesar.jl

Base package for JuliaPsychometricsBazaar ecosystem

Base package for JuliaPsychometricsBazaar ecosystem

A toolkit for progeny testing simulation

Build equations with informative errors for missing variables by explicitly assigning a process to each variable of the equations

Julia simulation package for TKTD models

Parameter estimation under uncertainty.

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Base data analysis methods for Paliquant

Julia package with methods for computing options pricing, profit and loss

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