statistics-bootstrap-v5.1.5

Changes in v5.1.5 since v5.1.4:

• 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 became 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 also achieved by reducing the number of (bootfun) function evaluations.
• Improved algorithm for computing quantiles (by linear interpolation) after double bootstrap in bootknife and bootci.
• Added message printed to stdout when kernel density estimation fails while computing quantiles after single bootstrap (bootknife).
• Improved the consistency of coding style across the functions in the package.