sim_markedpp: Simulate a pair of event time series.
In UCIDataLab/assocr: Quantify degreee of assocation between discrete event series

Simulate a pair of event time series.

1 2	sim_markedpp(lambda, W, nSamp, indep = FALSE, p, normal = TRUE, sigma, lambda2)

`lambda`	Intensity of first process (i.e. of Mark 1/A).
`W`	Observation window `c(low, high)`.
`nSamp`	Number of samples to draw, intentionally too large.
`indep`	Logical indicating if the second process should depend on the first; `default == FALSE` `TRUE`: homogeneous Poisson process of rate lambda2 `FALSE`: draw Bern(p), if 1 draw point from N(t_1[i],sigma^2)
`p`	Bernoulli probability if `indep == FALSE`
`normal`	Logical indicating distribution used to simulate dependent events; `default == TRUE` `TRUE`: Gaussian(t_1[i], sigma^2) `FALSE`: Exponential(sigma)
`sigma`	Standard deviation of normal if `indep == FALSE`
`lambda2`	intensity of second process if `indep == TRUE`