mft_test: Functional t-test for mean curves from two spline mixed...
In toreerdmann/TPDT: Test for paired time-resolved differences.

Testing hypothesis mean(grp1) = mean(grp2).

1 2	mft_test(data, group, timepoints, id, points = 500, nboot = 1000, ncpus = 1, ...)

`data`	[vector] with the response variable, i.e. values of some blood marker
`group`	[vector] with grouping information. Has to be same length as data and contain two groups.
`timepoints`	[vector] with timepoints of measurments of the values in data
`id`	[vector] with index for individuals
`points`	[Integer] number of grid points used for discretizing the functions when integrating.
`nboot`	[Integer] number of Bootstrap samples to use for estimating distribution of test statistic under H0.
`ncpus`	[Integer] number of CPUs to use, parallelization for > 2.