update matlab toolbox and readme file

gnu-octave · Jun 16, 2024 · 5749fb1 · 5749fb1
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diff --git a/README.md b/README.md
@@ -18,7 +18,7 @@ If you use this package, please include the following citation(s):
 
 ### Description
 
-The statistics-resampling package is an Octave package and Matlab toolbox that can be used to perform a wide variety of statistics tasks using non-parametric resampling methods. In particular, the functions included can be used to estimate bias, uncertainty (standard errors and confidence intervals), prediction error, and calculate *p*-values for null hypothesis significance tests. Variations of the resampling methods are included that improve the accuracy of the statistics for small samples and samples with complex dependence structures.  
+The statistics-resampling package is an Octave package and Matlab toolbox that can be used to perform a wide variety of statistics tasks using non-parametric resampling methods. In particular, the functions included can be used to estimate bias, uncertainty (standard errors and confidence intervals), prediction error, information criteria, and calculate *p*-values for null hypothesis significance tests. Variations of the resampling methods are included that improve the accuracy of the statistics for small samples and samples with complex dependence structures.  
 
 ### Using the statistics-resampling package online
 
@@ -116,7 +116,9 @@ Below are links to demonstrations of how the bootstrap or randomization function
  * [Statistically evaluate the number of modes (i.e. peaks) in a distribution](https://gnu-octave.github.io/statistics-resampling/function/bootmode.html#1)  
 
  * [Correcting sample size calculations for a two-sample test with nested design](https://gnu-octave.github.io/statistics-resampling/function/sampszcalc.html#6)  
-
+
+ * [Comparing linear models using bootstrap estimates of prediction error, information criteria and relative likelihood](https://gnu-octave.github.io/statistics-resampling/function/bootlm.html#15)  
+
 For examples of how to import data sets from a human-readable text file, like a tab-separated-value (TSV) and comma-separated-value (CSV) file, see the examples in the JupyterLab Notebook at [statistics-resampling-online](https://mybinder.org/v2/gh/acpennlab/statistics-resampling-online/jammy-docker?urlpath=/lab/tree/statistics-resampling.ipynb) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/acpennlab/statistics-resampling-online/jammy-docker?urlpath=/lab/tree/statistics-resampling.ipynb) and the last demonstration listed on [this page](https://gnu-octave.github.io/statistics-resampling/function/randtest2.html#5)
 
 ### Issues

diff --git a/inst/bootlm.m b/inst/bootlm.m
@@ -2906,10 +2906,10 @@
 %!         16.71;05.08];
 %!
 %!  [STATS, BOOTSTAT, AOVSTAT, PRED_ERR] = bootlm (sr, {pop15, pop75, ...
-%!                                     dpi, ddpi}, 'seed', 1, 'continuous', [1:4], ...
-%!                                     'model', 'linear', 'display', 'off', ...
-%!                                     'varnames', {'pop15','pop75','dpi','ddpi'},
-%!                                     'contrasts', 'treatment');
+%!                               dpi, ddpi}, 'seed', 1, 'continuous', [1:4], ...
+%!                               'model', 'linear', 'display', 'off', ...
+%!                               'varnames', {'pop15','pop75','dpi','ddpi'},
+%!                               'contrasts', 'treatment');
 %!
 %! PRED_ERR
 %! 

diff --git a/matlab/statistics-resampling.mltbx b/matlab/statistics-resampling.mltbx
diff --git a/matlab/statistics-resampling.prj b/matlab/statistics-resampling.prj
@@ -1,5 +1,5 @@
 <deployment-project plugin="plugin.toolbox" plugin-version="1.0">
-  <configuration build-checksum="178461745" file="Y:\Documents\GitHub\statistics-resampling\matlab\statistics-resampling.prj" location="Y:\Documents\GitHub\statistics-resampling\matlab" name="statistics-resampling" target="target.toolbox" target-name="Package Toolbox">
+  <configuration build-checksum="2838276534" file="Y:\Documents\GitHub\statistics-resampling\matlab\statistics-resampling.prj" location="Y:\Documents\GitHub\statistics-resampling\matlab" name="statistics-resampling" target="target.toolbox" target-name="Package Toolbox">
     <param.appname>statistics-resampling</param.appname>
     <param.authnamewatermark>Andrew Penn</param.authnamewatermark>
     <param.email>andy.c.penn@gmail.com</param.email>