BayesGrowth: Estimate Fish Growth Using MCMC Analysis

Estimate fish length-at-age models using MCMC analysis with 'rstan' models. This package allows a multimodel approach to growth fitting to be applied to length-at-age data and is supported by further analyses to determine model selection and result presentation. The core methods of this package are presented in Smart and Grammer (2021) "Modernising fish and shark growth curves with Bayesian length-at-age models". PLOS ONE 16(2): e0246734 <doi:10.1371/journal.pone.0246734>.

Version:	1.0.0
Depends:	R (≥ 3.4.0)
Imports:	AquaticLifeHistory, bayesplot, dplyr, ggplot2, loo, methods, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), rstantools (≥ 2.3.1.1), stats, tibble, tidybayes
LinkingTo:	BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests:	knitr, rmarkdown
Published:	2023-11-21
DOI:	10.32614/CRAN.package.BayesGrowth
Author:	Jonathan Smart [aut, cre, ctb, cph]
Maintainer:	Jonathan Smart <jonsmartphd at gmail.com>
BugReports:	https://github.com/jonathansmart/BayesGrowth/issues
License:	GPL-3
URL:	https://github.com/jonathansmart/BayesGrowth
NeedsCompilation:	yes
SystemRequirements:	GNU make
Citation:	BayesGrowth citation info
Materials:	README, NEWS
CRAN checks:	BayesGrowth results

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