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CmdStan — command-line interface to the Stan probabilistic programming language for Bayesian statistical modeling and high-performance inference. Compiles Stan programs (.stan) to C++ executables via

1 shared topic • 1 shared operation

Use when working with Convex.jl — a Julia package for Disciplined Convex Programming (DCP) that formulates and solves convex optimization problems with natural mathematical syntax. Covers problem cons

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DoE.base is a foundational R package by Ulrike Groemping for full factorial experimental designs and designs based on orthogonal arrays. It provides utility functions for the shared `design` class use

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mvabund is an R package providing a model-based approach to analyzing multivariate abundance data in ecology. It offers tools for data visualization, fitting predictive generalized linear models (GLMs

1 shared topic • 1 shared operation

PyStan — Python interface to Stan for Bayesian statistical modeling and high-performance inference. Compile Stan programs (stan.build), draw posterior samples via HMC-NUTS (model.sample), extract draw

1 shared topic • 1 shared operation