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).