bootlm: added relative likelihoods of models to PRED_ERR

Author: acp29

DESCRIPTION

@@ -1,6 +1,6 @@
 name: statistics-resampling
-version: 5.5.18
-date: 2024-06-04
+version: 5.5.19
+date: 2024-06-10
 author: Andrew Penn <[email protected]>
 maintainer: Andrew Penn <[email protected]>
 title: A statistics package with a variety of resampling tools

inst/bootlm.m

@@ -464,6 +464,7 @@
 %       - 'PE': Bootstrap estimate of prediction error
 %       - 'PRESS': Bootstrap estimate of predicted residual error sum of squares
 %       - 'RSQ_pred': Bootstrap estimate of predicted R-squared
+%       - 'RL': Relative likelihood compared to the intercept-only model
 %
 %       The linear models evaluated are the same as for AOVSTAT, except that the 
 %       output also includes the statistics for the intercept-only model. Note
@@ -478,7 +479,7 @@
 %       installed and loaded, then these computations will be automatically
 %       accelerated by parallel processing on platforms with multiple processors
 %
-%  bootlm (version 2024.05.17)
+%  bootlm (version 2024.06.10)
 %  Author: Andrew Charles Penn
 %  https://www.researchgate.net/profile/Andrew_Penn/
 %
@@ -2131,9 +2132,12 @@
   SST = RSS{1};                               % Total sum of squares
   PE_RSQ = 1 - PRESS / SST;                   % Predicted R-squared calculated 
                                               % by refined bootstrap
+  RL = exp (-0.5 * (PE - PE(1)));             % Relative likelihood (compared
+                                              % to the intercept-only model)
 
   % Prepare output
-  PRED_ERR = struct ('MODEL', [], 'PE', PE, 'PRESS', PRESS, 'RSQ_pred', PE_RSQ);
+  PRED_ERR = struct ('MODEL', [], 'PE', PE, 'PRESS', PRESS, 'RSQ_pred', ...
+                     PE_RSQ, 'RL', RL);
 
 end
 

matlab/statistics-resampling.mltbx

@@ -1,13 +1,13 @@
 <deployment-project plugin="plugin.toolbox" plugin-version="1.0">
-  <configuration build-checksum="3306453136" 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="2568662598" 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>[email protected]</param.email>
     <param.company>University of Sussex, UK</param.company>
     <param.summary>Statistical analysis using resampling methods</param.summary>
     <param.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.</param.description>
     <param.screenshot>Y:\Documents\GitHub\statistics-resampling\doc\icon.png</param.screenshot>
-    <param.version>5.5.18</param.version>
+    <param.version>5.5.19</param.version>
     <param.output>${PROJECT_ROOT}\statistics-resampling.mltbx</param.output>
     <param.products.name />
     <param.products.id />