ji_test: Joint confidence intervals test
In toreerdmann/TPDT: Test for paired time-resolved differences.

Joint confidence intervals test

1 2	ji_test(data, group, timepoints, id, method = c("spline", "rawdata"), points = 201, nboot = 1000, ncpus = 1, lambda = NULL, plot = FALSE)

`data`	[numeric vector] with the values of the response evaluated at the times in 'timepoints' argument.
`group`	[numeric vector] of 1s and 2s as the grouping variable.
`timepoints`	[numeric vector] with time points corresponding to measurements in 'data'.
`id`	[numeric vector] with integers corresponding to the individual curves.
`points`	[Integer] number of points used when discretizing functions.
`nboot`	[Integer] number of Boostrap repetitions.
`ncpus`	[Integer] number of CPUs to use. For greater than 1, the Bootstrapping is parallelized.
`plot`	[Logical] should a plot of the confidence bands be shown?