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  "Title": "Log-Concave Distribution Estimation with Interval-Censored Data",
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  "Authors@R": "c(\nperson(\ngiven = c(\"Chi\", \"Wing\"),\nfamily = \"Chu\",\nrole = \"aut\",\nemail = \"george.chu@cityu.edu.hk\"\n),\nperson(\ngiven = c(\"Hok\", \"Kan\"),\nfamily = \"Ling\",\nrole = \"aut\",\nemail = \"brian.ling@queensu.ca\"\n),\nperson(\ngiven = \"Chaoyu\",\nfamily = \"Yuan\",\nrole = c(\"aut\", \"cre\"),\nemail = \"chaoyu.yuan@columbia.edu\"\n)\n)",
  "Description": "We consider the non-parametric maximum likelihood\nestimation of the underlying distribution function, assuming\nlog-concavity, based on mixed-case interval-censored data. The\nalgorithm implemented is base on Chi Wing Chu, Hok Kan Ling and\nChaoyu Yuan (2024, <doi:10.48550/arXiv.2411.19878>).",
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  "Author": "Chi Wing Chu [aut], Hok Kan Ling [aut], Chaoyu Yuan [aut, cre]",
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