NEWS

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ccaPP 0.3.4 (2024-09-04)

• C++ code now uses Rf_error() instead of error() for error handling in order to work properly if R_NO_REMAP is defined.
• DESCRIPTION file now includes links to GitHub pages and clarifies author contributions.
• CITATION file now uses bibentry() instead of citEntry().
• Updated references in help files.

ccaPP 0.3.3 (2019-12-09)

• C++ functions are now properly registered.

ccaPP 0.3.2 (2016-03-07)

• Added references for maxCorGrid() and permTest().
• Added vignette 'ccaPP-intro'.

ccaPP 0.3.1 (2015-11-11)

• Added 'diabetes' data from Andrews & Herzberg (1985).
• Print method and help file of permutation tests no longer use the term 'independence'.
• Functions for robust CCA now standardize dummy variables with mean and standard deviation.
• Bugfix in functions for CCA: R session no longer crashes for higher-order canonical correlations in case of high-dimensional data.

ccaPP 0.3.0 (2013-11-01)

• Standardization in functions for CCA and maximum correlation is now optional.
• Functions for CCA and maximum correlation now return center and scale estimates from standardization.
• Slightly faster version of fastMedian().
• Function permTest() now allows to supply permutations as an argument.
• Bugfix in functions for CCA concerning side constraints for higher-order canonical correlations.
• Bugfix in functions for CCA: reduced data for higher-order canonical correlations no longer standardized.
• Bugfix in corM(): robust starting values now work with dummy variables.
• Renamed internal C++ function rank() to fix error with clang++ under OS X Mavericks.

ccaPP 0.2.0 (2012-09-19)

• Functions ccaGrid() and ccaProj() now force consistency of the Spearman, Kendall and quadrant correlation.
• New functions maxCorGrid() and maxCorProj() for maximum correlation, which retain the argument for consistency of the Spearman, Kendall and quadrant correlation.
• permTest(): now using the new functions maxCorGrid() and maxCorProj() rather than ccaGrid() and ccaProj().
• permTest(): argument 'cl' is now preferred over argument 'ncores' for parallel computing.
• Added fallback mode for robust standardization if the MAD of a variable is zero.
• Bugfix in ccaGrid() and its wrapper CCAgrid: seed for the random number generator is no longer ignored.
• Bugfix in CCAproj(): now correctly wrapped around ccaProj().

ccaPP 0.1.1 (2012-08-16)

• Using package parallel now to detect the number of available processor cores rather than OpenMP.
• Internally created parallel cluster in permTest() is now stopped via on.exit().
• Bugfix in permTest(): random number streams for parallel clusters supplied by the user are only reset if a seed is supplied.