Package: rema 1.2.0

rema: A generalized framework to fit the random effects (RE) model, a state-space random walk model developed at the Alaska Fisheries Science Center (AFSC) for apportionment and biomass estimation of groundfish and crab stocks.

This package provides a generalized framework to fit the random effects (RE) model, a state-space random walk model developed at the Alaska Fisheries Science Center (AFSC) for smoothing survey biomass estimates and apportioning catch among management areas. REMA is a multivariate extension of the original single-survey, single-strata RE model that allows the use of multiple strata within a survey and an additional survey (e.g. CPUE or relative population numbers) to inform the biomass trend (Hulson et al. 2021). If multi-survey mode is turned off, REMA runs the same as the univariate (RE) and multivariate (i.e. multiple area or depth strata; REM) versions of the model. REMA was developed in Template Model Builder (TMB; Kristensen et al. 2016).

Authors:Jane Sullivan [aut, cre], Laurinne Balstad [aut, ctb], Cole Monnahan [ctb], Pete Hulson [ctb]