Nhat_grp: Abundance estimation for Huggins or HugFullHet models

In jlaake/DoubleObs: Analysis of double-observer survey data

Description

Computes estimate of group (Nhat_group) or animal (Nhat) abundance for Huggins model or for HugFullHet with 2 mixtures in which pi is the proportion of animals with p=0.

Usage

Nhat_grp(mod,indices,data,known)

Nhat(mod,indices,data,known)

Nhat0(mod,indices,data,known)

Nhat_grp0(mod,indices,data,known)

Arguments

mod	fitted Huggins or HugFullHet model for double observer data
indices	model.index values of real parameters for p and pi(for Nhat0 and Nhat_grp0) from design data
data	dataframe containing data used to fit model
known	known marked animals (e.g. radio collar); either number of marked groups or sum of animals in marked groups

Value

list containing: 1) abundance estimate (either groups or animals) , 2) std error, 3) lower 95 percent confidence limit, 4) upper 95 percent confidence limit.

Author(s)

Jeff Laake

jlaake/DoubleObs documentation built on Dec. 21, 2021, 12:12 a.m.