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  "Title": "Statistical Approaches for Time-to-Event Data in Agriculture",
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  "Maintainer": "Andrea Onofri <andrea.onofri@unipg.it>",
  "Description": "A specific and comprehensive framework for the analyses of\ntime-to-event data in agriculture. Fit non-parametric and\nparametric time-to-event models. Compare time-to-event curves\nfor different experimental groups. Plots and other displays. It\nis particularly tailored to the analyses of data from\ngermination and emergence assays. The methods are described in\nOnofri et al. (2022) \"A unified framework for the analysis of\ngermination, emergence, and other time-to-event data in weed\nscience\", Weed Science, 70, 259-271 <doi:10.1017/wsc.2022.8>.",
  "URL": "https://www.statforbiology.com",
  "BugReports": "https://github.com/OnofriAndreaPG/drcte/issues",
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