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  "Title": "Shared Frailty Regression Models with Inverse Gaussian,\nGeneralized Lindley, and Gamma Frailty Distributions",
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  "Authors@R": "c(\nperson(\"Shikhar\", \"Tyagi\", email = \"shikhar1093tyagi@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-1606-0844\")),\nperson(\"Arvind\", \"Pandey\", email = \"arvindmzu@gmail.com\", role = \"aut\"),\nperson(\"Bhupendra\", \"Singh\", email = \"bhupendra.rana@gmail.com\", role = \"aut\"),\nperson(\"Vrijesh\", \"Tripathi\", email = \"vrijesh.tripathi@uwi.edu\", role = \"aut\"))",
  "Description": "Implements shared frailty regression models for survival\ndata under eight censoring mechanisms: exact, right censoring\n(Kalbfleisch and Prentice, 2002), left censoring, interval\ncensoring (Sun, 2006), progressive Type I censoring, and\nprogressive Type II censoring (Balakrishnan and Aggarwala, 2000\n<doi:10.1007/978-1-4612-1334-5>). Combines four frailty\ndistributions -- Gamma (Clayton, 1978), Inverse Gaussian\n(Hougaard, 1984), and two variants of the Generalized Lindley\n(GL) distribution: GL Type 1, a two-component gamma mixture\nwith distribution-specific scale/shape linkage (Pandey,\nHanagal, and Tyagi, 2022), and GL Type 2, a two-component gamma\nmixture with a common rate parameter (Pandey and Tyagi, 2021\n<doi:10.1134/S1995080222010140>) -- with two baseline hazard\ndistributions: the two-parameter Weibull distribution (Weibull,\n1951) and the three-parameter Generalized (Exponentiated)\nWeibull distribution (Mudholkar and Srivastava, 1993\n<doi:10.1109/24.229504>). A no-frailty baseline-only model is\nalso supported for nested model comparison. Maximum likelihood\nestimation is conducted using Newton-Raphson and\nBroyden-Fletcher-Goldfarb-Shanno (BFGS) algorithms via the\n'maxLik' package (Henningsen and Toomet, 2011\n<doi:10.1007/s00180-010-0217-1>). Provides standard errors,\nconfidence intervals, hypothesis tests, Akaike Information\nCriterion (AIC, Akaike, 1974 <doi:10.1109/TAC.1974.1100705>),\nBayesian Information Criterion (BIC, Schwarz, 1978\n<doi:10.1214/aos/1176344136>), corrected Akaike Information\nCriterion (AICc, Hurvich and Tsai, 1989), Hannan-Quinn\nInformation Criterion (HQIC, Hannan and Quinn, 1979), a\nbootstrap approximation of the Widely Applicable Information\nCriterion (WAIC, Watanabe, 2010), k-fold cross-validation,\nfrailty variance estimation, survival, hazard, median, risk,\nand marginal predictions, Cox-Snell (Cox and Snell, 1968),\nmartingale (Barlow and Prentice, 1988), and deviance residuals\nwith a Kolmogorov-Smirnov goodness-of-fit test, influence\ndiagnostics (leverage, Cook's distance, difference in fits\n(DFFITS), difference in betas (DFBETAS); Belsley, Kuh, and\nWelsch, 1980), random data generation under all eight censoring\nmechanisms, a Monte Carlo simulation-study function, and a\ndiagnostic and survival plotting suite.",
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      "title": "Model Comparison, Bootstrapped WAIC, and Cross-Validation for MultiFrailty Models",
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      "title": "Formula Interface for Shared Frailty Regression Models",
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      "fileid": "https://r2.ropensci.org/1454ed4e9bd7fe4c962536e0f695c108b56d6e13b0cee70ac2b986fa90a3f1ba",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/shikhartyagi/actions/runs/35595267658"
    }
  ]
}