m.hoenig_1: Estimate natural mortality rate from longevity data
In CatDyn: Fishery Stock Assessment by Catch Dynamics Models

Description Usage Arguments Details Value Author(s) References Examples

Using the empirical regression parameters obtained by Prof. John M. Hoenig and the longevity provided with max.age, estimate the natural mortality rate and its standard error from application of the delta method.

1	M.Hoenig(max.age, time.step)

`max.age`	Numeric, longevity in years.
`time.step`	Character, either day, week, or month, the desired unit of the estimate.

This function can be used to obtain a good initial value for natural mortality rate to be input in the exploratory or statistical feet of a catch dynamics model, at the time step in which the model will be run.

A length 2 numeric vector with estimated natural mortality and its standard error.

Ruben H. Roa-Ureta (ORCID ID 0000-0002-9620-5224)

Hoening, J.M. 2005. Empirical use of longevity data to estimate mortality rates. SEDAR33-RD17. SEDAR, North Charleston, SC. 8 pp.

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max.age <- 5.8
time.step <- "day"
M.Hoenig(max.age,time.step)

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 Fishery Stock Assessment by Catch Dynamics Models
 CatDyn version 1.1-1 (built on 2018-12-18) is now loaded
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   M.pred.day M.pred.SE.day
1 0.002057808   0.000298802