README.md

In merrillrudd/LIME: Length-based Integrated Mixed Effects (LIME) assessment method

LIME

The length-based integrated mixed effects (LIME) model uses length data and biological information to estimate stock status. Key attributes of LIME include: - Accounting for time-varying fishing mortality and recruitment - Requirement of at least 1 year of length composition data of the catch, and assumptions about growth, natural mortality, and maturity - Estimation of annual fishing mortality, length at 50% and 95% selectivity, and recruitment variation - Derivation of random effects for time-varying recruitment - Fitting to multiple years of length composition data and/or catch and/or an abundance index time series, if available. - Estimation of spawning potential ratio reference points (and MSY-based reference points if there is information on scale, e.g. catch data)

Resources:

• Wiki: https://github.com/merrillrudd/LIME/wiki
• Publication: Rudd, MB and Thorson, JT. 2017. Accounting for variable recruitment and fishing mortality in length-based stock assessments for data-limited fisheries. Canadian Journal of Fisheries and Aquatic Sciences https://doi.org/10.1139/cjfas-2017-0143.

merrillrudd/LIME documentation built on June 20, 2020, 2:58 p.m.