fitrem: Fit a zero-truncated recurrent events model

In thomashusken/trem: Introduces models to estimate the size of elusive populations from single-source capture-recapture data.

Description

fitrem fits a zero-truncated recurrent events model on the data provided and calculates the point and interval estimate of the population size

Usage

fitrem(data, bstart, ...)

Arguments

data	An array of at least three dimensions
bstart	A vector of starting values
...	Further arguments to be passed from or to other methods

Details

This is a specialised function, as it requires the data to be in a three-dimensional format (persons x time x variables). The default optimization procedure is a Newton-Raphson method, while numerical optimization via optim is also possible

Value

A coefficient matrix, point and interval estimate of the population size, loglikelihood and number of iterations

thomashusken/trem documentation built on May 31, 2019, 10:47 a.m.