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  "Description": "Provides regression modeling and prediction for the\nmarginal mean of recurrent events in the presence of a\ncompeting terminal event based on the weighted nonparametric\nmaximum likelihood estimator (wNPMLE) of Bellach and Kosorok\n(2026) <https://arxiv.org/abs/2605.25934>. Two large classes of\ntransformation models are included: the Box-Cox transformation\nmodels and the logarithmic transformation models, extending the\nproportional means model of Ghosh and Lin (2002)\n<doi:10.17615/pt0g-y207> and the model of Zeng and Lin (2006)\n<doi:10.1093/biomet/93.3.627>. Parameter estimates are derived\nvia automatic differentiation using the Template Model Builder\n(TMB) framework. Standard errors are computed via a sandwich\nvariance estimator with correction for the estimated weights,\nfollowing Bellach, Kosorok, Ruschendorf and Fine (2019)\n<doi:10.1080/01621459.2017.1401540>.",
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