{ "_id": "6a19eb211d7bb097a09c6fc8", "Package": "incubate", "Title": "Parametric Time-to-Event Analysis with Variable Incubation\nPhases", "Version": "1.4.0", "Date": "2026-03-20", "Authors@R": "person(given = \"Matthias\", family = \"Kuhn\",\nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"matthias.kuhn@tu-dresden.de\",\ncomment = c(ORCID = \"0000-0003-2868-5155\"))", "Description": "Fit parametric models for time-to-event data that show an\ninitial 'incubation period', i.e., a variable delay phase where\nno events occur. The delayed Weibull distribution serves as the\nfoundational data model. For parameter estimation, different\nflavours of maximum likelihood estimation ('MLE') and the\nmethod of maximum product of spacings estimation ('MPSE') are\nimplemented. 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