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  "Title": "Mixture Cure Rate Models with Flexible Link Functions via the EM\nAlgorithm",
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  "Description": "Fits mixture cure rate models by the\nExpectation-Maximization (EM) algorithm. The incidence\ncomponent (the probability of being uncured) accepts the logit,\nprobit, cauchit, power logit and reversed power logit link\nfunctions, and the latency component accepts the exponential,\nRayleigh, Weibull, log-normal, log-logistic and inverse\nGaussian distributions. The package provides parameter\nestimates with standard errors, simulation of data from the\nmodel, and diagnostic tools based on residuals and simulated\nenvelopes. The methods build on Berkson and Gage (1952)\n<doi:10.2307/2281318>, Dempster, Laird and Rubin (1977)\n<doi:10.1111/j.2517-6161.1977.tb01600.x> and Bazán,\nTorres-Avilés, Suzuki and Louzada (2017)\n<doi:10.1002/asmb.2215>.",
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    "message": "Remove liver2 dataset and duplicated dados.R\n\nThe liver dataset now holds the data used in the paper; liver2 and the\nduplicated documentation in dados.R are no longer part of the package.\n\nCo-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>\n",
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