{
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  "Package": "cold",
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  "Title": "Count Longitudinal Data",
  "Version": "2.0-3",
  "Author": "M. Helena Goncalves and M. Salome Cabral, apart from a set of\nFortran-77 subroutines written by R. Piessens and E. de\nDoncker, belonging to the suite \"Quadpack\".",
  "Maintainer": "M. Helena Goncalves <mhgoncal@ualg.pt>",
  "Description": "Performs regression analysis for longitudinal count data,\nallowing for serial dependence among observations from a given\nindividual and two dimensional random effects on the linear\npredictor. Estimation is via maximization of the exact\nlikelihood of a suitably defined model. Missing values and\nunbalanced data are allowed. Details can be found in the\naccompanying scientific papers: Goncalves & Cabral (2021,\nJournal of Statistical Software, <doi:10.18637/jss.v099.i03>)\nand Goncalves et al. (2007, Computational Statistics & Data\nAnalysis, <doi:10.1016/j.csda.2007.03.002>).",
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  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2021-08-25 09:00:02 UTC",
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    "LogL.pss0Ic2",
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    "LogL.pss1Ic2",
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    "LogL.pssMC2",
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    "pssgrd",
    "pssgrd0",
    "psslik",
    "psslik0",
    "randeff",
    "resid",
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    "vareff"
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        "coeftest-methods"
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      "title": "Fit of parametric models via likelihood method",
      "topics": [
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      ]
    },
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      "title": "Class 'cold' of a maximum likelihood estimation",
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      ]
    },
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        "gradLogL.pss0I",
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      "title": "Auxiliary for controlling \"cold\" fitting",
      "topics": [
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    },
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      "page": "coldcublim",
      "title": "Auxiliary for controlling \"cold\" fitting",
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        "getAIC-methods"
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