Bug fix and performance enhancement

- Fixed bug in 'boot' function (specifically the windows versions of boot.mex and it's source code boot.cpp). This bug prevented uniform resampling across the whole sample when n*nboot becomes too large. This bug was introduced in commit f07cb46 (8 Dec 2022) and was present in releases 5.1.0 - 5.1.4. The fix has reintroduced C++11 dependency for compiling boot.mex.
- Fixed incorrect precompiled binaries for Octave mex files, which were 32-bit when they should have been 64-bit windows
- Added a series of significant performance enhancements in `bootknife` by vectorizing the code for computing bias, standard errors and confidence intervals for each element of the return value of bootfun. The performance enhancement is achieved by reducing the number of (bootfun) function evaluations.

Author: acp29

DESCRIPTION

@@ -1,6 +1,6 @@
 name: statistics-bootstrap
-version: 5.1.4
-date: 2023-01-09
+version: 5.1.5
+date: 2023-01-21
 author: Andrew Penn <andy.c.penn@gmail.com>
 maintainer: Andrew Penn <andy.c.penn@gmail.com>
 title: A statistics package with a variety of bootstrap resampling tools

inst/boot.m

@@ -52,31 +52,31 @@
   % Input variables
   n = numel(x);
   if (n > 1)
-    sz = size(x);
+    sz = size (x);
     isvec = true;
-    if all(sz > 1)
-      error('The first input argument must be either a scalar (N) or vector (X).');
+    if (all (sz > 1))
+      error('boot: The first input argument must be either a scalar (N) or vector (X).');
     end
   else
     n = x;
     isvec = false;
-    if ( (n <= 0) || (n ~= fix(n)) || isinf(n) || isnan(n) )
-      error ('The first input argument must be a finite positive integer.')
+    if ((n <= 0) || (n ~= fix (n)) || isinf (n) || isnan (n))
+      error ('boot: The first input argument must be a finite positive integer.')
     end
   end
-  if (nboot <= 0) || (nboot ~= fix(nboot)) || isinf(nboot) || isnan(nboot) || (max (size (nboot)) > 1)
-    error ('The second input argument (NBOOT) must be a finite positive integer')
+  if ((nboot <= 0) || (nboot ~= fix (nboot)) || isinf (nboot) || isnan (nboot) || (max (size (nboot)) > 1))
+    error ('boot: The second input argument (NBOOT) must be a finite positive integer')
   end
-  if (nargin > 2) && ~isempty(u)
-    if ~islogical (u)
-      error ('The third input argument (UNBIASED) must be a logical scalar value')
+  if ((nargin > 2) && ~ isempty (u))
+    if (~ islogical (u))
+      error ('boot: The third input argument (UNBIASED) must be a logical scalar value')
     end
   else
     u = false;
   end
-  if (nargin > 3) && ~isempty(s)
-    if (isinf(s) || isnan(s) || (max (size (s)) > 1))
-      error ('The fourth input argument (SEED) must be a finite scalar value')
+  if ((nargin > 3) && ~ isempty (s))
+    if (isinf (s) || isnan (s) || (max (size (s)) > 1))
+      error ('boot: The fourth input argument (SEED) must be a finite scalar value')
     end
     rand ('twister', s);
   end
@@ -85,14 +85,14 @@
   bootsam = zeros (n, nboot);
 
   % Initialize weight vector defining the available row counts remaining
-  if (nargin > 4) && ~isempty(w)
+  if ((nargin > 4) && ~ isempty (w))
     % Assign user defined weights (counts)
     % Error checking
-    if (numel(w) ~= n)
-      error('WEIGHTS must be a vector of length N or be the same length as X.');
+    if (numel (w) ~= n)
+      error ('boot: WEIGHTS must be a vector of length N or be the same length as X.');
     end
-    if (sum(w) ~= n * nboot)
-      error('The elements of WEIGHTS must sum to N * NBOOT.')
+    if (sum (w) ~= n * nboot)
+      error ('boot: The elements of WEIGHTS must sum to N * NBOOT.')
     end
     c = w;
   else
@@ -117,7 +117,7 @@
       if (u)
         d(r) = 0;
       end
-      if ~sum (d)
+      if (~ sum (d))
         d = c;
       end
       d = cumsum (d);