fit_oo: Fit observer by occasion model to NFS resight data

In dsjohnson/pupR: Model-Based Estimation of Northern Fur Seal Pup Production

Description

Fit the observer by occasion model using maximum likelihood. The parameters, covariance matrix, and log-likelihood are returned in a list.

Usage

fit_oo(data, M, start_val = NULL, refit = TRUE, ...)

Arguments

data	A data frame containing the resight information. The data must contain the columns (1) 'obs'– the categorical name of the observer. (2) 'resample'– a variable indicating the resample occasion (3) 'm'– the counts of marked pups by each observer (4) 'u'– the counts of unmarked pups
M	the total number of unmarked pups in the population
start_val	an optional vector of starting values for the model
refit	logical. should the function attempt a refit to help ensure global optimum is reached
...	holding space for any other variable supplied, these will be ignored

dsjohnson/pupR documentation built on May 15, 2019, 4:21 p.m.