SPAS.extract.par.est: Extract the estimates into a simpler form from a...

In SPAS: Stratified-Petersen Analysis System

Extract the estimates into a simpler form from a Stratified-Petersen fit

Description

This function is normally used internally and not by users of the package.

Usage

SPAS.extract.par.est(est.red, rowDM, colDM, thetaDM, conditional = TRUE)

Arguments

est.red	Vector of parameter estimates
rowDM	Design matrix for covariates for row parameters (after pooling). Not currently implemented so this is usually an identity matrix.
colDM	Design matrix for covariates for column parameters (after pooling). Not currently implemented so this is usually an identity matrix.
thetaDM	Design matrix for covariates for movement parameters (after pooling). Not currently implemented so this is usually an identity matrix.
conditional	Indicates if a conditional (Poisson model) or full likelihood (Multinomial) fit was done.

Value

Returns a list with entries

• theta The modeled number of animals released in row stratum i and recovered in column stratum j.

• cap. The estimated probability of tagging in row stratum i.

• psi. The estimated number of animals never seen after tagging for each row stratum.

• N. The estimated population size.

SPAS documentation built on April 12, 2025, 2:24 a.m.