From ee3120b2bf3e085bd522b826730d3a9fd76f1e91 Mon Sep 17 00:00:00 2001 From: Sebastian Funk Date: Fri, 5 Jan 2024 15:51:09 +0000 Subject: [PATCH] add transformation paper --- README.Rmd | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/README.Rmd b/README.Rmd index 53cd4ce43..151b570bf 100644 --- a/README.Rmd +++ b/README.Rmd @@ -36,6 +36,10 @@ For a detailed description of the package, its rationale and design, usage examp > Nikos I. Bosse, Hugo Gruson, Anne Cori, Edwin van Leeuwen, Sebastian Funk and Sam Abbott (2022). _`Evaluating Forecasts with scoringutils in R`_. arXiv:2205.07090 +For further details on the specific issue of transforming forecasts for scoring see: + +> Nikos I. Bosse, Sam Abbott, Anne Cori, Edwin van Leeuwen, Johannes Bracher\* and Sebastian Funk\* (\*: equal contribution) (2023). _`Scoring epidemiological forecasts on transformed scales`_, PLoS Comput Biol 19(8): e1011393 + ## Package overview The `scoringutils` package offers convenient automated forecast evaluation through the function `score()`. The function operates on data.frames (it uses `data.table` internally for speed and efficiency) and can easily be integrated in a workflow based on `dplyr` or `data.table`. It also provides experienced users with a set of reliable lower-level scoring metrics operating on vectors/matrices they can build upon in other applications. In addition it implements a wide range of flexible plots designed to cover many use cases.