LearnNonparam 1.2.3

• Improved twosample_pmt
• Added examples
• Fixed SiegelTukey and ContingencyTableTest

LearnNonparam 1.2.2

• R side
  • Changed the default value of n_permu to 1e4
  • Added support for test statistics defined using Rcpp in define_pmt
  • Added support for null_value other than zero in two-sample location tests
  • Added support for scoring in TwoSampleAssociationTest
  • Added a confidence interval for p-value in print()
  • Added the LearnNonparam.pmt_progress option
  • Added attr(t$n_permu, "n_used")
  • Replaced multicomp.* with multcomp.*
  • Replaced KSampleF and RCBDF with OneWay and RCBDOneWay
  • Stopped exporting abstract classes (TwoSampleTest, KSampleTest, etc.)
  • Improved the efficiency of ChiSquare, Difference, JonckheereTerpstra, KruskalWallis, RatioMeanDeviance and Studentized
  • Fixed many bugs
• C++ side
  • Introduced a new progress bar, which is built at compile time to minimize runtime overhead

LearnNonparam 1.2.1

• R side
  • Added define_pmt
  • Added some error messages
  • Added some active bindings
  • Introduced graphics as an alternative to ggplot2
  • Introduced compiler::cmpfun for better performance
  • Renamed ANOVA, RCBD, RCBDANOVA and SignedDiff
  • Replaced MultiCompT and TukeyHSD with Studentized
  • Replaced "approx" with "asymp"
  • Improved MultipleComparison
  • Improved CDF$plot()
  • Fixed many bugs
• C++ side
  • A new progress bar
  • Support for larger n_permu

LearnNonparam 1.2.0

• Added logo
• Introduced Rcpp
• Replaced Mean with Difference
• Replaced SignedScore with SignedDiff
• Replaced PermuTest$feed() with PermuTest$test()
• Accelerated RCBD and TwoSamplePairedTest
• Improved print() and plot() method of CDF, MultipleComparison and PermuTest
• Added "approx" option for the Quantile$type
• Fixed many bugs