Author: Florian Hartig

The latest update of the DHARMa R package (0.4.6) includes an option to perform simulated likelihood ratio tests (LRTs) for GLMMs based on a parametric bootstrap. I wanted to shortly...continue reading.

Note also the blog post by Daniel Lakens on the same topic here. Background Criticism of p-values has been rampant in recent years, as were predictions of their imminent demise....continue reading.

Note also the blog post by Daniel Lakens on the same topic here. Background Criticism of p-values has been rampant in recent years, as were predictions of their imminent demise....continue reading.

Do you remember the notorious hurricane / himmicane study (Jung et al., PNAS, 2014)? At the time, there was a heavy backlash against the study, and probably rightly so, as...continue reading.

Although one would think that the basic concepts of statistics should be the same across all sciences, there is an amazing heterogeneity between fields in how statistics is taught and...continue reading.

Over at dynamic ecology,  Jeremy Fox argues that Technical statistical mistakes are overrated; ecologists (especially students) worry too much about them. Individually and collectively, technical statistical mistakes hardly ever appreciably...continue reading.

This is a somewhat belated introduction of a package that we published on CRAN at the beginning of the year already, but I hadn’t found the time to blog about this earlier....continue reading.

As I said before, I firmly side with Andrew Gelman (see e.g. here) in that model checking is dangerously neglected in Bayesian practice. The philosophical criticism against “rejecting” models (double-using data...continue reading.