r/ Fix use of references.

Author: MLopez-Ibanez

r/R/eafplot.R

@@ -1,16 +1,18 @@
 #' Plot the Empirical Attainment Function for two objectives
 #'
-#' Computes and plots the Empirical Attainment Function, either as
+#' Computes and plots the Empirical Attainment Function (EAF), either as
 #' attainment surfaces for certain percentiles or as points.
 #'
 #' This function can be used to plot random sets of points like those obtained
-#' by different runs of biobjective stochastic optimisation algorithms \citep{LopPaqStu09emaa}.  An EAF
-#' curve represents the boundary separating points that are known to be
-#' attainable (that is, dominated in Pareto sense) in at least a fraction
-#' (quantile) of the runs from those that are not \citep{Grunert01}. The median EAF represents
-#' the curve where the fraction of attainable points is 50%.  In single
-#' objective optimisation the function can be used to plot the profile of
-#' solution quality over time of a collection of runs of a stochastic optimizer. \citep{LopVerDreDoe2025}.
+#' by different runs of biobjective stochastic optimisation algorithms
+#' \citep{LopPaqStu09emaa}{moocore}.  An EAF curve represents the boundary
+#' separating points that are known to be attainable (that is, dominated in
+#' Pareto sense) in at least a fraction (quantile) of the runs from those that
+#' are not \citep{Grunert01}{moocore}. The median EAF represents the curve
+#' where the fraction of attainable points is 50%.  In single objective
+#' optimisation the function can be used to plot the profile of solution
+#' quality over time of a collection of runs of a stochastic
+#' optimizer \citep{LopVerDreDoe2025}{mooplot}.
 #'
 #' @param x Either a matrix of data values, or a data frame, or a list of
 #'     data frames of exactly three columns.
@@ -66,7 +68,7 @@ eafplot <- function(x, ...) UseMethod("eafplot")
 #' @param axes (`logical(1)`)\cr A logical value indicating whether both axes should be drawn
 #'   on the plot.
 #'
-#' @param sci.notation Generate prettier labels
+#' @param sci.notation (`logical(1)`)\cr Generate prettier labels
 #'
 #' @param ... Other graphical parameters to [plot.default()].
 #'

r/R/interactive.R

@@ -3,7 +3,7 @@
 #' Creates the same plot as [eafdiffplot()] but waits for the user to click in
 #' one of the sides. Then it returns the rectangles the give the differences in
 #' favour of the chosen side. These rectangles may be used for interactive
-#' decision-making as shown in \citet{DiaLop2020ejor}. The function
+#' decision-making as shown in \citet{DiaLop2020ejor}{moocore}. The function
 #' [moocore::choose_eafdiff()] may be used in a non-interactive context.
 #'
 #' @inheritParams eafdiffplot

r/man/choose_eafdiffplot.Rd

@@ -1,2 +1,3 @@
-\newcommand{\citep}{\insertCite{#1}{moocore}}
-\newcommand{\citet}{\insertCite{#1;textual}{moocore}}
+\newcommand{\citep}{\insertCite{#1}{#2}}
+\newcommand{\citet}{\insertCite{#1;textual}{#2}}
+