Fix for the issue of confidence interval setting not being independent. (#2)

Changes how the fill between command is called to resolve the issue.

Version bumps and documentation updates.

Some minor preparations for future works.

Author: HaivuUK

lua-regression/doc/lua-regression-bib.bib

@@ -0,0 +1,21 @@
+ 
+@Article{Hofmann2017,
+  author       = {Hofmann, Heike and , Hadley, Wickham and and Kafadar, Karen},
+  date         = {2017-07-03},
+  journaltitle = {Journal of Computational and Graphical Statistics},
+  title        = {Letter-Value Plots: Boxplots for Large Data},
+  doi          = {10.1080/10618600.2017.1305277},
+  issn         = {1061-8600},
+  number       = {3},
+  pages        = {469--477},
+  url          = {https://doi.org/10.1080/10618600.2017.1305277},
+  urldate      = {2025-04-14},
+  volume       = {26},
+  abstract     = {Boxplots are useful displays that convey rough information about the distribution of a variable. Boxplots were designed to be drawn by hand and work best for small datasets, where detailed estimates of tail behavior beyond the quartiles may not be trustworthy. Larger datasets afford more precise estimates of tail behavior, but boxplots do not take advantage of this precision, instead presenting large numbers of extreme, though not unexpected, observations. Letter-value plots address this problem by including more detailed information about the tails using “letter values,” an order statistic defined by Tukey. Boxplots display the first two letter values (the median and quartiles); letter-value plots display further letter values so far as they are reliable estimates of their corresponding quantiles. We illustrate letter-value plots with real data that demonstrate their usefulness for large datasets. All graphics are created using the R package lvplot, and code and data are available in the supplementary materials.},
+  file         = {Full Text PDF:https\://www.tandfonline.com/doi/pdf/10.1080/10618600.2017.1305277:application/pdf},
+  keywords     = {Fourths, Location depth, Order statistics, Quantiles, Tail area},
+  publisher    = {{ASA} Website},
+  shorttitle   = {Letter-Value Plots},
+}
+
+@Comment{jabref-meta: databaseType:biblatex;}

lua-regression/doc/lua-regression-doc.pdf

@@ -798,6 +798,12 @@
     \pagebreak
 
     \section{Changelog}
+
+    \subsection*{v1.0.2}
+
+    \begin{itemize}
+    	\item Solves the bug with multiple CI plots have the same options regardless of what has been set.
+    \end{itemize}
 
     \subsection*{v1.0.1}
 

lua-regression/doc/lua-regression-doc.tex

@@ -439,7 +439,7 @@ function sigFig(value, digits)
     return tonumber(string.format(fmt, value))
 end
 
--- Example outlier filter using Z-scores
+-- Outlier filter using Z-scores
 function filter_outliers(data, threshold)
     if not threshold then return data end
 

lua-regression/tex/lua-regression.lua

@@ -19,7 +19,7 @@
 % implied warranties of merchantability and fitness for a
 % particular purpose.
 
-\ProvidesPackage{lua-regression}[2025/04/06 1.0.1  Lua Regression Plotting project]
+\ProvidesPackage{lua-regression}[2025/04/17 1.0.2  Lua Regression Plotting project]
 
 \RequirePackage{ifthen}
 \ifluatex
@@ -36,7 +36,6 @@
 \RequirePackage{pgfplots}
 \usepgfplotslibrary{fillbetween}
 
-% Define the key-value options
 % Define the key-value options
 \pgfkeys{
     /luaregression/.is family, /luaregression,
@@ -97,6 +96,17 @@
             {Use '\\begin{tikzpicture} ... \\end{tikzpicture}' with '\\usepackage{pgfplots}'.}%
         \fi
         \expandafter\addplot\expandafter[\luaregressionpgfoptions] {\polyeq};%
+        % Plot confidence band if ci=true
+        \ifthenelse{\equal{\luaregressionci}{true}}{%
+            \begingroup
+            \edef\luareg@ci@addplot{%
+            \noexpand\addplot[fill=\luaregressioncicolor,fill opacity=\luaregressioncifillopacity] fill between[of=quprpath and qlwrpath];%
+            }
+            \addplot[name path=qlwrpath,draw=none] coordinates {\qlwr};
+            \addplot[name path=quprpath,draw=none] coordinates {\qupr};
+            \luareg@ci@addplot
+            \endgroup
+        }{}%
         % Construct the legend entry dynamically
         \begingroup
         \def\legendentry{}%
@@ -115,14 +125,5 @@
             \expandafter\addlegendentry\expandafter{\legendentry}%
         \fi
         \endgroup
-        % Plot confidence band if ci=true
-        \ifthenelse{\equal{\luaregressionci}{true}}{%
-        \addplot[name path=qlwrpath,draw=none] coordinates {\qlwr};
-        \addplot[name path=quprpath,draw=none] coordinates {\qupr};
-        \addplot[
-            fill=\luaregressioncicolor,
-            fill opacity=\luaregressioncifillopacity
-        ] fill between[of=quprpath and qlwrpath];
-        }{}%
     }{}%
 }