simnhPP: Simulate forward distances

In david-borchers/LT2D: Line transect estimation in two dimensions

Description

Simulate non-homogeneous Poisson Process data by solving inverse CDF. This function has been replaced by sim.n.

Usage

simnhPP(x, b, ystart, hr, miss = TRUE, ylo = 1e-05)

Arguments

x	scale or vector; perpendicular distance observations
b	two-element vector of hazard rate parameters, some of whihc may be logged
ystart	max forward distance at which could possibly detect animal (see details).
hr	hazard rate function
miss	If TRUE, allows animals not detected by y=0 to have no y.
ylo	minimum forward distance.

Details

miss allows a fixed number of animal to be simulated i.e. known $N$ in strip, or $n$ where animals may have been missed.

Value

vector of y distances if miss=TRUE missed animals represented by -999, otherwise no animals are missed.

See Also

simXY

Examples

ystart=4
hr=h2; b=log(c(0.75,1))
X=runif(50,0,1)
Y=simnhPP(x=X,b=b,ystart=ystart,
hr=h2,miss=TRUE)
length(Y[Y!=-999])
Y=simnhPP(x=X,b=b,ystart=ystart,
hr=h2,miss=FALSE)
length(Y[Y!=-999])

david-borchers/LT2D documentation built on Aug. 17, 2020, 1:37 a.m.