simulation function for mark-recovery setting

This function allows you to simulate data of dead recoveries with specified survival, migratory connectivity and recovery probability in 1D- or 2D-space and time using rejection sampling.

simContin(markRecaptureObject)

Arguments

markRecaptureObject	object of class markRecaptureObject (see markRecaptureObject())

Value

returns object of class markRecaptureObject with added simulated recoveryData

Examples

{
 mro <- markRecaptureObject(xrange = c(0,1),
                            survival = function(w){0.5*w+.4},
                            recovery = function(w){0.01},
                            markedInds = rep(1000,3),
                            migratoryConnectivity = function(b,w,B=3){
                              truncnorm::dtruncnorm(w,0,1,
                              mean = seq(0.1,0.9,length.out = B)[b],
                              sd = 0.3)},
                           observationTime = 5)
mro <- simContin(mro)
}
#> Registered S3 method overwritten by 'cli':
#>   method     from         
#>   print.boxx spatstat.geom