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DESCRIPTION

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Package: LearnNonparam
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Title: 'R6'-Based Flexible Framework for Permutation Tests
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Version: 1.2.6
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Version: 1.2.7
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Authors@R:
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person(given = "Yan", family = "Du", role = c("aut", "cre"), email = "isduyan@outlook.com", comment = c(ORCID = "0009-0009-1169-921X"))
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Description: Implements non-parametric tests from Higgins (2004, ISBN:0534387756), including tests for one sample, two samples, k samples, paired comparisons, blocked designs, trends and association. Built with 'Rcpp' for efficiency and 'R6' for flexible, object-oriented design, the package provides a unified framework for performing or creating custom permutation tests.

NEWS.md

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# LearnNonparam 1.2.7
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- R side
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- Fixed p-value calculation and adopted the correlation coefficient as test statistic in `Correlation`
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- Added display of test types when printing user-defined tests
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- Refined the compilation of R functions in `define_pmt`
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- Improved calculating efficiency in `PairedDifference`
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- C++ side
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- Enhanced the permutation efficiency in `paired.*`
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- Reduced the number of permutations in `twosample.*` in cases with duplicate elements across samples
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# LearnNonparam 1.2.6
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- R side

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