Hello Everyone,
I have a time series of osmotic pressure values from MD simulation. I have discrete block average values from these time series. I would like to perform Mann-Kendall test for the lack of trend in block averages and for lack of trend in variance of these block averages in R. I have just started learning R-programming to perform these tests on block averages of my data.
I observed that there are several packages for Mann-Kendall tests. It will be really helpful if experienced statisticians/ R-programmers help me to decide the relevant package for Mann-Kendall test in the present case.
Also, I would like to perform W test for normality of block averages, and von Neumann test for serial correlation of block averages. Any suggestions for relevant packages to these tests will be really helpful.
Thanks in advance.
Have you had a look at the trend package (Pohlert 2018)? I link a vignette below, which includes a demonstration of applying the MK test.
vignette: https://cran.r-project.org/web/packages/trend/vignettes/trend.pdf
package manual: https://cran.r-project.org/web/packages/trend/trend.pdf
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