Modeling censored data with tfprobability
This article is originally published at https://blogs.rstudio.com/tensorflow/In this post we use tfprobability, the R interface to TensorFlow Probability, to model censored data. Again, the exposition is inspired by the treatment of this topic in Richard McElreath's Statistical Rethinking. Instead of cute cats though, we model immaterial entities from the cold world of technology: This post explores durations of CRAN package checks, a dataset that comes with Max Kuhn's parsnip.
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This article is originally published at https://blogs.rstudio.com/tensorflow/
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