mltest 1.0.1

• added bibliography in the help page of the function “mltest::ml_test()”
• removed “mltest.R” file which previously described the package
• redone/simplified the implementation of the calculation of local variables “TP” and “TN”
  within “mltest::ml_test()”
• added variables “FP” and “FN” (semantiaclly corresponding to FP and FN of a confusion matrix) within “mltest::ml_test()”
• reimplemented/expressed evaluation-metrics “precision”, “recall”, “specificity” in simple
  terms of TP, TN, FP and FN
• implemented new evaluation-metrics: “DOR”, “error.rate”, “FDR”/“FNR”/“FOR”/“FPR”, “geometric.mean”, “Jaccard”, “L”/“lambda” (representing LR(+) and LR(-) respectively), “MCC”, “MK” (Markedness), “NPV”, “OP” (optimization precision), “Youden”(’s index)
• added an extra argument “output.as.table” which is FALSE by default: this returns a list with named vectors (class-mtrics) for fast access through referencing/subsetting a la $. when the above “output.as.table” = TRUE the dataframe with all the metrics is returned (except for “accuracy” and “error.rate”)

mltest 1.0.2

• removed from within the the {} of the return in the #’ @return part of the roxygen2 header
  • thanks to Dr. Hornik for the advice
• : TN is now caclulated correctly (#107): TN <- sapply(1:length(TP), function(y) {sum(confusion_mtx[-y, -y], na.rm = TRUE)})
  • thanks to Dr. Stewart for the advice
• ORCID number is added in the description file

mltest 1.0.3

• added CRAN-assigned DOI to the inst/CITATION file
• removed balanced.accuracy mentioned twice in the #’ @description
• removed 2nd parenthesis pair around ((\strong{FOR})) in the .R file
• replaced \emph{calculated as:} with = in the #’ @return of the .R file
• removed redundant parentheses in {F0.5}, {1} and {F2}