GGIR use case 1

[eriktks]

Ref: sequgen issue #21

Description

Notebook for the first GGIR use case. Challenges:

1. use case requires boxcar function (implemented, see sequgen PR #79)
2. use case requires repeated parameter sampling (implemented with function peaks_generate)
3. use case requires relations between Dimension parameters (implemented with additional checks by functions peaks_extends_maximum and peaks_overlap)
4. use case does not require discrete time axis, adding this would remove information about the signal (implemented by not using the time axis and staying in the sample domain)

To test

Install notebook and verify that it generates reasonable time series, compare with https://cran.r-project.org/web/packages/GGIR/vignettes/GGIR.html#42_Output_part_4 , tab 4.2.3 visualization_sleep.pdf

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