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  "Title": "Density Estimation with Semidefinite Programming",
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  "Description": "The models of probability density functions are Gaussian\nor exponential distributions with polynomial correction terms.\nUsing a maximum likelihood method, 'dsdp' computes parameters\nof Gaussian or exponential distributions together with degrees\nof polynomials by a grid search, and coefficient of polynomials\nby a variant of semidefinite programming. It adopts Akaike\nInformation Criterion for model selection. See a vignette for a\ntutorial and more on our 'Github' repository\n<https://github.com/tsuchiya-lab/dsdp/>.",
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  "BugReports": "https://github.com/tsuchiya-lab/dsdp/issues",
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  "Author": "Satoshi Kakihara [aut, cre], Takashi Tsuchiya [aut]",
  "Maintainer": "Satoshi Kakihara <skakihara@gmail.com>",
  "Repository": "https://cran.r-universe.dev",
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    },
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    },
    {
      "page": "dsdp",
      "title": "dsdp: Density Estimation using Semidefinite Programming",
      "topics": [
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    },
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