pre-release 0.4.2

DESCRIPTION

@@ -2,7 +2,7 @@ Type: Package
 Package: BayesianReasoning
 Title: Plot Positive and Negative Predictive Values for Medical Tests
 Version: 0.4.2
-Date: 2022-09-06
+Date: 2023-11-13
 Authors@R: 
     person("Gorka", "Navarrete", , "[email protected]", role = c("aut", "cre"),
            comment = c(ORCID = "0000-0001-7678-8656"))
@@ -22,10 +22,14 @@ Depends:
 Imports: 
     cli,
     dplyr,
-    ggforce,
+    ggforce (>= 0.4.0),
     ggplot2,
+    ggtext, 
+    gt,
     magrittr,
+    png,
     reshape2,
+    scales,
     stats,
     tibble,
     tidyr
@@ -37,10 +41,11 @@ Suggests:
     purrr,
     rmarkdown,
     testthat (>= 3.0.0),
-    vdiffr
+    vdiffr,
+    webshot2
 VignetteBuilder: 
     knitr
 Encoding: UTF-8
 LazyData: FALSE
-RoxygenNote: 7.2.1
+RoxygenNote: 7.2.3
 Config/testthat/edition: 3

NAMESPACE

@@ -4,6 +4,8 @@ export("%>%")
 export(PPV_diagnostic_vs_screening)
 export(PPV_heatmap)
 export(min_possible_prevalence)
+export(plot_cutoff)
+export(remove_layers_cutoff_plot)
 importFrom(cli,cli_alert_info)
 importFrom(dplyr,filter)
 importFrom(dplyr,mutate)
@@ -15,6 +17,7 @@ importFrom(ggplot2,element_text)
 importFrom(ggplot2,geom_line)
 importFrom(ggplot2,geom_tile)
 importFrom(ggplot2,ggplot)
+importFrom(ggplot2,ggplot_build)
 importFrom(ggplot2,ggsave)
 importFrom(ggplot2,labs)
 importFrom(ggplot2,layer_scales)
@@ -25,8 +28,19 @@ importFrom(ggplot2,scale_x_continuous)
 importFrom(ggplot2,scale_y_continuous)
 importFrom(ggplot2,theme)
 importFrom(ggplot2,theme_minimal)
+importFrom(ggtext,element_markdown)
+importFrom(gt,cell_text)
+importFrom(gt,cells_column_labels)
+importFrom(gt,cols_align)
+importFrom(gt,cols_label)
+importFrom(gt,fmt_markdown)
+importFrom(gt,gt)
+importFrom(gt,tab_style)
 importFrom(magrittr,"%>%")
+importFrom(png,readPNG)
 importFrom(reshape2,melt)
+importFrom(scales,comma)
+importFrom(stats,rnorm)
 importFrom(stats,var)
 importFrom(tibble,as_tibble)
 importFrom(tidyr,gather)

NEWS.md

@@ -1,3 +1,19 @@
+# BayesianReasoning 0.4.2
+
+Major updates  
+
+* New plot_cutoff()  
+  + Shows healthy and sick distributions and shows FP, FN, TP and TN depending on a cutoff point  
+* New remove_layers_cutoff_plot() functions  
+  + Get's rid of layers of a cutoff_plot: FP, FN, TP or TN  
+
+Minor updates
+
+* Fix for CRAN change in docType
+* Use linewidth instead of size
+* Faster implementation of a step in min_possible_prevalence
+
+
 # BayesianReasoning 0.4.1
 
 Minor updates

R/globals.R

@@ -1,3 +1,4 @@
 # https://community.rstudio.com/t/how-to-solve-no-visible-binding-for-global-variable-note/28887
 # https://www.r-bloggers.com/2019/08/no-visible-binding-for-global-variable/
-utils::globalVariables(c("prevalence_1", "prevalence_2", "prevalence_pct", "FP", "NPV", "PPV", "Prevalence", "FN", "value", "prevalence", "sensitivity", "specificity"))
+utils::globalVariables(c("prevalence_1", "prevalence_2", "prevalence_pct", "FP", "NPV", "PPV", "Prevalence", "FN", "value", "prevalence", "sensitivity", "specificity",
+                         "N", "classification", "fill_str", "test_result", "type"))