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.
- Version1.0.7
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release09/25/2020
Documentation
Team
Danyang Yu
Weiliang Qiu
Zeyu Zhang
Jessica Su
Dawn L. DeMeo
Kelan Tantisira
Scott T. Weiss
Kimberly Glass
Insights
Last 30 days
This package has been downloaded 276 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 3,327 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 44 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports5 packages