update README (to devel version)

Author: hneth

README.Rmd

@@ -37,16 +37,16 @@ doi_JDM     <- "10.1017/S1930297500006239"
 # FFTrees `r packageVersion("FFTrees")` <img src = "man/figures/logo.png" align = "right" alt = "FFTrees" width = "160" />
 
 <!-- Devel badges start: --> 
-<!-- [![CRAN status](https://www.r-pkg.org/badges/version/FFTrees)](https://CRAN.R-project.org/package=FFTrees) -->
-<!-- [![Downloads/month](https://cranlogs.r-pkg.org/badges/FFTrees?color="00a9e0")](https://www.r-pkg.org/pkg/FFTrees) -->
-<!-- [![Total downloads](https://cranlogs.r-pkg.org/badges/grand-total/FFTrees?color="00a9e0")](https://www.r-pkg.org/pkg/FFTrees) -->
-<!-- [![R-CMD-check](https://github.com/ndphillips/FFTrees/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/ndphillips/FFTrees/actions/workflows/R-CMD-check.yaml) -->
+[![CRAN status](https://www.r-pkg.org/badges/version/FFTrees)](https://CRAN.R-project.org/package=FFTrees)
+[![Downloads/month](https://cranlogs.r-pkg.org/badges/FFTrees?color="00a9e0")](https://www.r-pkg.org/pkg/FFTrees)
+[![Total downloads](https://cranlogs.r-pkg.org/badges/grand-total/FFTrees?color="00a9e0")](https://www.r-pkg.org/pkg/FFTrees)
+[![R-CMD-check](https://github.com/ndphillips/FFTrees/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/ndphillips/FFTrees/actions/workflows/R-CMD-check.yaml)
 <!-- Devel badges end. -->
 
 
 <!-- Release badges start: -->
-[![CRAN status](https://www.r-pkg.org/badges/version/FFTrees)](https://CRAN.R-project.org/package=FFTrees)
-[![Total downloads](https://cranlogs.r-pkg.org/badges/grand-total/FFTrees?color="00a9e0")](https://www.r-pkg.org/pkg/FFTrees)
+<!-- [![CRAN status](https://www.r-pkg.org/badges/version/FFTrees)](https://CRAN.R-project.org/package=FFTrees) -->
+<!-- [![Total downloads](https://cranlogs.r-pkg.org/badges/grand-total/FFTrees?color="00a9e0")](https://www.r-pkg.org/pkg/FFTrees) -->
 <!-- Release badges end. -->
 
 
@@ -112,7 +112,7 @@ library(FFTrees)  # load package
 
 A _fast-and-frugal tree_ (FFT) provides answers to binary prediction problems like:
 
-- Which of 2 categories should I predict for each individual case in the data?
+- Which of 2 categories should we predict for each individual case in the data?
 - How successful is this prediction process for a sample of cases? 
 
 <!-- 1. Creating FFTs: -->

README.md

@@ -7,22 +7,20 @@
 
 <!-- Devel badges start: -->
 
-<!-- [![CRAN status](https://www.r-pkg.org/badges/version/FFTrees)](https://CRAN.R-project.org/package=FFTrees) -->
-
-<!-- [![Downloads/month](https://cranlogs.r-pkg.org/badges/FFTrees?color="00a9e0")](https://www.r-pkg.org/pkg/FFTrees) -->
-
-<!-- [![Total downloads](https://cranlogs.r-pkg.org/badges/grand-total/FFTrees?color="00a9e0")](https://www.r-pkg.org/pkg/FFTrees) -->
-
-<!-- [![R-CMD-check](https://github.com/ndphillips/FFTrees/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/ndphillips/FFTrees/actions/workflows/R-CMD-check.yaml) -->
-
-<!-- Devel badges end. -->
-
-<!-- Release badges start: -->
-
 [![CRAN
 status](https://www.r-pkg.org/badges/version/FFTrees)](https://CRAN.R-project.org/package=FFTrees)
+[![Downloads/month](https://cranlogs.r-pkg.org/badges/FFTrees?color=%2200a9e0%22)](https://www.r-pkg.org/pkg/FFTrees)
 [![Total
 downloads](https://cranlogs.r-pkg.org/badges/grand-total/FFTrees?color=%2200a9e0%22)](https://www.r-pkg.org/pkg/FFTrees)
+[![R-CMD-check](https://github.com/ndphillips/FFTrees/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/ndphillips/FFTrees/actions/workflows/R-CMD-check.yaml)
+<!-- Devel badges end. -->
+
+<!-- Release badges start: -->
+
+<!-- [![CRAN status](https://www.r-pkg.org/badges/version/FFTrees)](https://CRAN.R-project.org/package=FFTrees) -->
+
+<!-- [![Total downloads](https://cranlogs.r-pkg.org/badges/grand-total/FFTrees?color="00a9e0")](https://www.r-pkg.org/pkg/FFTrees) -->
+
 <!-- Release badges end. -->
 
 <!-- ALL badges start: -->
@@ -109,8 +107,8 @@ library(FFTrees)  # load package
 A *fast-and-frugal tree* (FFT) provides answers to binary prediction
 problems like:
 
-- Which of 2 categories should I predict for each individual case in the
-  data?
+- Which of 2 categories should we predict for each individual case in
+  the data?
 - How successful is this prediction process for a sample of cases?
 
 <!-- 1. Creating FFTs: -->
@@ -364,6 +362,6 @@ for the full list). Examples include:
 
 ------------------------------------------------------------------------
 
-\[File `README.Rmd` last updated on 2026-04-28.\]
+\[File `README.Rmd` last updated on 2026-05-02.\]
 
 <!-- eof. -->