sim_colextfp: Simulate data from a dynamic occupancy model with false...
In oliviergimenez/occuHMM: Fit occupancy data with hidden Markov models

This function allows you to simulate data from a dynamic occupancy model with false positives. Data coding is as follows: 0 is for non-detection, 1 is for detection with no ambiguity, 2 is for detection with false positives possibly occurring.

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sim_colextfp(nb_sites = 200, nb_surveys = 3, nb_seasons = 10,
  init_occ = 0.6, falsedet = 0.1, truedet = 0.4, assign = 0.8,
  ext = 0.5, col = 0.3)

`nb_sites`	number of sites (by default = 200)
`nb_surveys`	number of surveys/visits (by default = 3)
`nb_seasons`	number of seasons/years (by default = 10)
`init_occ`	first-year occupancy probability (by default = 0.6)
`falsedet`	probability of false positive detection (by default = 0.1)
`truedet`	probability of detection (by default = 0.4)
`assign`	probability that a detection is classified as unambiguous (by default = 0.8)
`ext`	extinction probability (by default = 0.5)
`col`	colonization probability (by default = 0.3)