phatInterval: Calculates coverage probabilities of \hat p
In david-borchers/LT2D: Line transect estimation in two dimensions

Description Usage Arguments Details Value See Also Examples

Calculate coverage probabilities of \hat p using the delta method and assuming a log-normal error distribution.

1	phatInterval(fit, type = "LOGNORM", interval = 0.95)

`fit`	object resulting from a call of `fityx` (see details)
`type`	`LOGNORM` log-normal confidence intervals; `NORM` normal confidence intervals.
`interval`	the interval used to determine coverage probability

In the call of fityx in the fit argument must have hessian=TRUE

a data frame of p phat, and CV[phat], interval, lower bound returned.

phat fityx

## Not run: 
ystart=4;w=1
hr=h2; b=log(c(0.75,1))
pi.x=pi.norm; logphi=c(0.5,log(0.2))
N=50 #true number of animals
#generate some observations
simDat=simXY(N=N,pi.x=pi.x,logphi=logphi,
hr=hr,b=b,w=w,ystart=ystart)
x=simDat$locs$x; y=simDat$locs$y 
est.yx=fityx(y,x,b,hr,ystart,pi.x,logphi,w)
phatInterval(fit=est.yx,interval=0.95)

## End(Not run)