Base data analysis methods for Paliquant

Simple predictive models for tumor growth, and tools to apply them to clinical data

Estimation in a mean field graph

Randomly Pivoted Cholesky algorithm, implemented in Julia

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Spatially-aware multivariate analysis and dimensionality reduction

Systematic way of defining observation schemes for stochastic processes

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Trying something based on DESPOT

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A lightweight Julia package for modeling and solving Newsvendor Problems.

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Noncommutative graphs in Julia

Constrained Bayesian optimization implementation in Nonconvex.jl

Computing the highest density region of a univariate, unimodal distribution in Julia

Juniper wrapper in Nonconvex.jl

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Julia wrapper for the Python Rhodium package

Simulating quantum computing verification

A thin wrapper around the python PyMBAR

Virtual Age Models for Julia

Compute the Pearson correlation to be used in Gaussian copulas

Pavito wrapper in Nonconvex.jl

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This package is a part of RSim, however, may also be used as an independent package for the calculation of source terms from an xml mechanism input file

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

Adds support for parallelization for Taija packages.

Base package for JuliaPsychometricsBazaar ecosystem

Global sensitivity analysis in a subspace of total parameter space

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Gaussian process models for spatial transcriptomics

NLopt.jl implementation for Metida.jl