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DESCRIPTION
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DESCRIPTION
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Package: rema
Type: Package
Title: 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
Date: 2022-12-15
Authors@R: c(
person("Jane", "Sullivan", email = "[email protected]", role = c("aut", "cre")),
person("Laurinne", "Balstad", email = "[email protected]", role = c("aut", "ctb")),
person("Cole", "Monnahan", email = "[email protected]", role = c("ctb")),
person("Pete", "Hulson", email = "[email protected]", role = c("ctb"))
)
Description: 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).
Depends:
R (>= 3.6.0)
Imports:
TMB (>= 1.7.20),
tidyr (>= 1.1.2),
dplyr (>= 1.0.2),
ggplot2 (>= 3.3.2),
zoo (>= 1.7),
sessioninfo (>= 1.1.1),
abind (>= 1.4-5),
rmarkdown (>= 2.11),
knitr (>= 1.37),
magrittr (>= 2.0.0)
LinkingTo:
TMB (>= 1.8.1),
RcppEigen (>= 0.3.3.9.1)
URL: https://github.com/JaneSullivan-NOAA/rema,
https://afsc-assessments.github.io/rema/
BugReports: https://github.com/JaneSullivan-NOAA/rema/issues
License: GPL-3
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.3.1
Encoding: UTF-8
Suggests:
testthat (>= 3.0.0),
cowplot (>= 1.1.1),
tmbstan,
bayesplot,
rstan
Remotes: kaskr/tmbstan/tmbstan
Config/testthat/edition: 3