updates

Author: hneth

DESCRIPTION

@@ -32,5 +32,5 @@ License: CC0
 URL: https://CRAN.R-project.org/package=FFTrees, https://ndphillips.github.io/FFTrees/
 BugReports: https://github.com/ndphillips/FFTrees/issues
 VignetteBuilder: knitr
-RoxygenNote: 7.3.1
+RoxygenNote: 7.3.2
 Language: en-US

README.Rmd

@@ -281,7 +281,7 @@ When using **FFTrees** in your own work, please cite us and share your experienc
 
 <!-- Examples uses/publications (with links): -->
 
-By\ 2024, over 130\ scientific publications have used or cited **FFTrees** (see [Google Scholar](https://scholar.google.com/scholar?oi=bibs&hl=en&cites=205528310591558601) for the full list). 
+By\ 2025, over 150\ scientific publications have used or cited **FFTrees** (see [Google Scholar](https://scholar.google.com/scholar?oi=bibs&hl=en&cites=205528310591558601) for the full list). 
 Examples include: 
 
 - Lötsch, J., Haehner, A., & Hummel, T. (2020). Machine-learning-derived rules set excludes risk of Parkinson’s disease in patients with olfactory or gustatory symptoms with high accuracy. 

README.md

@@ -304,7 +304,7 @@ continue developing the package.
 
 <!-- Examples uses/publications (with links): -->
 
-By 2024, over 130 scientific publications have used or cited **FFTrees**
+By 2025, over 150 scientific publications have used or cited **FFTrees**
 (see [Google
 Scholar](https://scholar.google.com/scholar?oi=bibs&hl=en&cites=205528310591558601)
 for the full list). Examples include:

vignettes/FFTrees_heart.Rmd

@@ -39,7 +39,8 @@ This tutorial on using the **FFTrees** package follows the examples presented in
 
 - Phillips, N. D., Neth, H., Woike, J. K. & Gaissmaier, W. (2017). 
 FFTrees: A toolbox to create, visualize, and evaluate fast-and-frugal decision trees. 
-_Judgment and Decision Making_, _12_ (4), 344–368.
+_Judgment and Decision Making_, _12_ (4), 344–368. 
+<https://doi.org/10.1017/S1930297500006239>
 
 In the following, we explain how to use **FFTrees** to create, evaluate and visualize FFTs in four simple steps.