• Add a fast K-sample BD test procedure for category variables, especially the GWAS datasets.
  • Update citation information and reference.
  • Add variance (Chi-square) weight for K-sample Ball Divergence test.
  • Refine distance computation
  • bcorsis can conveniently analyze category variables (e.g., GWAS datasets).
  • Add permutation-free method for the Ball Divergence and Ball Covariance test (both only for constant weight now).
  • Add variance (chi-square) weight for Ball Divergence test.
  • Fix potential bugs in R version 4.0
  • Improve the reproducibility and efficiency of multi-threading and change the default number of threads as the number of CPUs available.
  • Improve the computational efficiency of the KBD test.
  • Modify ambiguous arguments of bcov.test, bd.test, bcorsis
  • Modify document
  • Formula interface for bd.test and bcov.test
  • Optimize the package dependency
  • Faster implementation of mutual independence test
  • Multi-thread support for the test of mutual independence
  • Modify document
  • Add a KBD statistic designed for detecting the distribution distinction when a part of group distributions are identical. (setting kbd.type = “maxsum”)
  • OPENMP based Multi-thread support for KBD
  • Optimized OPENMP parallelism
  • Speed up feature screening.
  • Speed up mutual independence test.
  • Another K-sample test statistic (setting kbd.type = “max”) is implemented. It is good at detecting the distribution distinction when a part of group distributions are identical.
  • Add complete.info component in the output list of bcov.test, bd.test and bcorsis such that user not need to re-run them when user want to obtain the test of result of different statistics.
  • Bug fix
  • OPENMP based Multi-thread support for bd.test and bcov.test
  • Speed up feature screening for survival data
  • Implement Angular metric for compositional data
  • Initial CRAN version