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proxyC 0.4.1

Bug fixes

• Make detection of Intel oneAPI Threads Building Blocks (TBB) library more reliable.

proxyC 0.4.0

New features and improvements

• Use more recent Intel oneAPI Threads Building Blocks (TBB) library to improve the stability in parallel computing.
• Add options(proxyC.threads) to control the number of threads in parallel computing (but RCPP_PARALLEL_NUM_THREADS still has effect).

New system requirements

• The RcppParallel package is no longer required as the TBB library in the operating system (Linux and MacOS) or Rtools (Windows) is used.
• Linux and MacOS must have the TBB library to enable parallel computing before installing this package from the source.

proxyC 0.3.4

New features and improvements

• Add “fjaccard” to simil() for Fuzzy Jaccard similarity (#42).

proxyC 0.3.3

New features and improvements

• Explicitly setting use_nan = FALSE will suppress warnings in simil() and dist().
• Add vignettes to explain how the similarity and distance measures are computed.

proxyC 0.3.2

Bug fixes

• Make further changes for Matrix v1.4-2.

proxyC 0.3.1

New features and improvements

• Add “jensen” to dist() for Jensen-Shannon divergence as a symmetric version of Kullback-Leibler divergence.
• Change how x and y are coerced to dgCMatrix for Matrix v1.4-2.

proxyC 0.3.0

New features and improvements

• Add “jeffreys” to dist() for Jeffreys divergence. It is a symmetric version of Kullback-Leibler divergence (#31).

proxyC 0.2.4

New features and improvements

• rowSds(), colSds(), rowZeros() and colZeros() return row or column names. They also work with both dense and sparse matrices (#28).

proxyC 0.2.3

Bug fixes

• Change “hamman” to “hamann” in simil() to correct misspelling (#26).

proxyC 0.2.2

New features

• simil() and dist() work with both dense and sparse matrices.
• use_nan = TRUE can be used not only for correlation but for all the distance and similarity measures.

proxyC 0.2.1

New features

• Computing the correlation similarity on vectors with a standard deviation will generate a zero correlation and a warning. The warning can be turned off by setting use_nan = TRUE, in which case the computed correlation similarity will be NaN instead (#21).

Bug fixes

• Fixed infinite values being returned by the correlation similarity (#20).

proxyC 0.2.0

New features

• Added a diag argument to compute similarity/distance only for corresponding rows or columns (#13).
• Added a smooth parameter to chisquared and kullback leibler distances to solve negative values in sparse matrices (#15).
• Added the hamming distance (#18)

Bug fixes

• Fixed the chi-squared distance to match stats::chisq.test() (#14).
• Fixed a bug in pairwise similarity/distance computation when drop0 = TRUE (#17).

proxyC 0.1.5

New features

• Add the drop0 argument to address the floating point precision issue (#10).

Bug fixes

• The digit argument is now passed to dist() (#11).

proxyC 0.1.4

New features

• Add rowSds(), colSds(), rowZeros() and colZeros() (#9).

proxyC 0.1.3

Bug fixes

• No longer assumes symmetry of resulting matrix when x != y (#4).

New features

• Add the digits argument to correct rounding errors in C++ (#5).

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.