{
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  "Title": "Semi-Parametric Dimension Reduction Models Using Orthogonality\nConstrained Optimization",
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  "Authors@R": "c(\nperson(\"Ruilin\", \"Zhao\",\nemail = \"rzhao15@seas.upenn.edu\",\nrole = c(\"aut\", \"cph\")),\nperson(\"Ruoqing\", \"Zhu\",\nemail = \"teazrq@gmail.com\",\nrole = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0000-0002-0753-5716\")),\nperson(\"Jiyang\", \"Zhang\",\nemail = \"jiyangz2@illinois.edu\",\nrole = c(\"aut\", \"cph\")),\nperson(\"Wenzhuo\", \"Zhou\",\nemail = \"wenzhuo3@illinois.edu\",\nrole = c(\"aut\", \"cph\")),\nperson(\"Peng\", \"Xu\",\nemail = \"px2132@columbia.edu\",\nrole = c(\"aut\", \"cph\")),\nperson(\"James Joseph\", \"Balamuta\",\nemail = \"balamut2@illinois.edu\",\nrole = c(\"ctb\"),\ncomment = c(ORCID = \"0000-0003-2826-8458\"))\n)",
  "Description": "Utilize an orthogonality constrained optimization\nalgorithm of Wen & Yin (2013) <DOI:10.1007/s10107-012-0584-1>\nto solve a variety of dimension reduction problems in the\nsemiparametric framework, such as Ma & Zhu (2012)\n<DOI:10.1080/01621459.2011.646925>, Ma & Zhu (2013)\n<DOI:10.1214/12-AOS1072>, Sun, Zhu, Wang & Zeng (2019)\n<DOI:10.1093/biomet/asy064> and Zhou, Zhu & Zeng (2021)\n<DOI:10.1093/biomet/asaa087>. The package also implements some\nexisting dimension reduction methods such as hMave by Xia,\nZhang, & Xu (2010) <DOI:10.1198/jasa.2009.tm09372> and partial\nSAVE by Feng, Wen & Zhu (2013)\n<DOI:10.1080/01621459.2012.746065>. It also serves as a general\npurpose optimization solver for problems with orthogonality\nconstraints, i.e., in Stiefel manifold. Parallel computing for\napproximating the gradient is enabled through 'OpenMP'.",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
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  "Author": "Ruilin Zhao [aut, cph], Ruoqing Zhu [aut, cre, cph]\n(<https://orcid.org/0000-0002-0753-5716>), Jiyang Zhang [aut,\ncph], Wenzhuo Zhou [aut, cph], Peng Xu [aut, cph], James Joseph\nBalamuta [ctb] (<https://orcid.org/0000-0003-2826-8458>)",
  "Maintainer": "Ruoqing Zhu <teazrq@gmail.com>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2024-03-14 02:30:47 UTC",
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    "ortho_optim",
    "orthoDr_pdose",
    "orthoDr_reg",
    "orthoDr_surv",
    "pSAVE",
    "silverman",
    "view_dr_surv"
  ],
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      "title": "Skin Cutaneous Melanoma Data set",
      "object": "skcm.clinical",
      "class": [
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      ],
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        "Time",
        "Censor",
        "Gender",
        "Age"
      ],
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      "tojson": true
    },
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      "title": "Genes associated with Melanoma given by the MelGene Database",
      "object": "skcm.melgene",
      "class": [
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      ],
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        "OCA2",
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        "SLC45A2",
        "CDKN2A",
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        "MTAP",
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        "VDR",
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        "FTO"
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    {
      "page": "CP_SIR",
      "title": "Counting process based sliced inverse regression model",
      "topics": [
        "CP_SIR"
      ]
    },
    {
      "page": "dist_cross",
      "title": "Cross distance matrix",
      "topics": [
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      ]
    },
    {
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      "title": "Compute Distance Correlation",
      "topics": [
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      ]
    },
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      "title": "Hazard Mave for Censored Survival Data",
      "topics": [
        "hMave"
      ]
    },
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      "title": "Kernel Weight",
      "topics": [
        "kernel_weight"
      ]
    },
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      "title": "Orthogonality constrained optimization",
      "topics": [
        "ortho_optim"
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    },
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      "topics": [
        "orthoDr_pdose"
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    },
    {
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      "title": "Semiparametric dimension reduction method from Ma & Zhu (2012).",
      "topics": [
        "orthoDr_reg"
      ]
    },
    {
      "page": "orthoDr_surv",
      "title": "Counting Process based semiparametric dimension reduction (IR-CP) model",
      "topics": [
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      ]
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      "title": "Predictions under 'orthoDr' models",
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