Package: corTest 1.0.7
Danyang Yu
corTest: Robust Tests for Equal Correlation
There are 6 novel robust tests for equal correlation. They are all based on logistic regressions. The score statistic U is proportion to difference of two correlations based on different types of correlation in 6 methods. The ST1() is based on Pearson correlation. ST2() improved ST1() by using median absolute deviation. ST3() utilized type M correlation and ST4() used Spearman correlation. ST5() and ST6() used two different ways to combine ST3() and ST4(). We highly recommend ST5() according to the article titled ''New Statistical Methods for Constructing Robust Differential Correlation Networks to characterize the interactions among microRNAs'' published in Scientific Reports. Please see the reference: Yu et al. (2019) <doi:10.1038/s41598-019-40167-8>.
Authors:
corTest_1.0.7.tar.gz
corTest_1.0.7.tar.gz(r-4.5-noble)corTest_1.0.7.tar.gz(r-4.4-noble)
corTest_1.0.7.tgz(r-4.4-emscripten)corTest_1.0.7.tgz(r-4.3-emscripten)
corTest.pdf |corTest.html✨
corTest/json (API)
NEWS
# Install 'corTest' in R: |
install.packages('corTest', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- es - A BioConductor ExpressionSet Object Storing Gene Expression Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:053fbe7df7. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 22 2024 |
R-4.5-linux | NOTE | Oct 22 2024 |
Exports:construct_networkfisher_transfer_testgenerate_datagenEsetghdistplotDiffCorst1st2st3st4st5st6
Dependencies:BiobaseBiocGenericscliclusterGenerationcolorspacecpp11fansifarverggplot2gluegtableigraphisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr