ricpp_sr: Simulate iterated cluster point prcocesses with independent...
In adchSTATS/icpp: Simulate a limiting iterated cluster point process

Description Usage Arguments

Simulate iterated cluster point prcocesses with independent imigration under same reproduction.

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ricpp_sr(intens, clsiz, sd, noise, win = owin(), kernel_sd = NULL,
  clsiz_var = NULL, n = NULL, tol = .Machine$double.eps,
  ncores = 1, track = FALSE)

`intens`	Non-negative numeric. The desired intensity for each generation.
`clsiz`	Numeric between 0 and 1. The expected cluster size. Must be between 0 and 1, due to the assumption of same reproduction.
`sd`	Non-negative numeric. The offspring density standard deviation.
`noise`	String describing the type of noise to be added. `"Det"`, `"Pois"`, or `"Per"`.
`win`	Window of class `owin`.
`kernel_sd`	Non-negative numeric. Kernel standard deviation. Default is `NULL` in which case `noise` must be `"Pois"`.
`clsiz_var`	Non-negative numeric. Variance of the number of points in a cluster. See `rGaussian_child`.
`n`	Positive integer. The number of iterations.
`tol`	Positive real number.
`ncores`	Positive integer specifying the number of cores to be used.
`track`	logical indicating wheter to print the iterationnumber for each completed iteration. Is not necessarily in chronological orden when `ncores > 1`. See the argument `mc.cores` in `mclapply`.