codemeta.json

{
    "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
    "@type": "SoftwareSourceCode",
    "name": "GetDist: Monte Carlo sample analysis, plotting and GUI",
    "description": "Analysis and plotting of Monte Carlo (and other) samples, including correlated samples from Markov Chain Monte Carlo (MCMC). It offers a point and click GUI for selecting chain files, viewing plots, marginalized constraints, and LaTeX tables, and includes a plotting library for making custom publication-ready 1D, 2D, 3D-scatter, triangle and other plots. Its convergence diagnostics include correlation length and diagonalized Gelman-Rubin statistics, and the optimized kernel density estimation provides an automated optimal bandwidth choice for 1D and 2D densities with boundary and bias correction.",
    "identifier": "https://dx.doi.org/10.5281/zenodo.3522420",
    "author": [
        {
            "@type": "Person",
            "givenName": "Antony",
            "familyName": "Lewis",
            "id": "https://orcid.org/0000-0001-5927-6667"
        }
    ],
    "citation": "https://arxiv.org/abs/1910.13970",
    "relatedLink": [
        "https://getdist.readthedocs.io/"
    ],
    "codeRepository": "https://github.com/cmbant/getdist",
    "programmingLanguage": "Python",
    "referencePublication": [
        {
            "@type": "ScholarlyArticle",
            "url": "https://arxiv.org/abs/1910.13970",
            "id": "arXiv:1910.13970"
        }
    ],
    "version": "1",
    "license": "https://github.com/cmbant/getdist/blob/master/LICENCE.txt"
}