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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "rema" in publications use:'
type: software
license: GPL-3.0-only
title: '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.'
version: 1.2.0
doi: 10.32614/CRAN.package.rema
abstract: 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:
- family-names: Sullivan
  given-names: Jane
  email: jane.sullivan@noaa.gov
- family-names: Balstad
  given-names: Laurinne
  email: lbalstad@ucdavis.edu
repository: https://jimianelli.r-universe.dev
repository-code: https://github.com/JaneSullivan-NOAA/rema
commit: 9d801300099041f7f54c1f94dd6de42ab3d85eb1
url: https://afsc-assessments.github.io/rema/
date-released: '2022-12-15'
contact:
- family-names: Sullivan
  given-names: Jane
  email: jane.sullivan@noaa.gov