Version 1.08
IncAAM is an R package for Bayesian age-at-maturity analysis based on annual increment-width growth series, such as otolith increment measurements.
The package fits a hierarchical nonlinear mixed-effects model with a negative exponential growth curve and fish-level varying parameters. Age-at-maturity estimates are derived using two complementary approaches:
c;IncAAM also calculates posterior threshold-crossing probabilities by increment number and fits a logistic crossing ogive, providing an estimated ogive A50.
From a local source package:
install.packages("IncAAM_0.1.0.tar.gz", repos = NULL, type = "source")Or, from the package source directory:
devtools::install()The model uses brms with the cmdstanr
backend. Install the R dependencies first, then install CmdStan if it is
not already available:
install.packages(c(
"brms", "cmdstanr", "dplyr", "tidyr", "purrr", "tibble",
"ggplot2", "posterior", "minpack.lm", "bayesplot"
))
cmdstanr::install_cmdstan()library(IncAAM)
dfx <- read.csv("Combined_data_clean.csv") |>
dplyr::filter(
Species == "plaice",
Sex == "female",
Axis == "section"
)
fit <- IncAAM(
data = dfx,
FishID = "FishID",
Inc_num = "Inc_num",
Inc_width = "Inc_width_mm",
sex = "female",
known_A50 = 7.6,
n_iter = 1500,
n_warmup = 750,
n_keepdraws = 500,
n_adapt_delta = 0.995,
n_logc_sd = 0.1
)
fit$summary
fit$crossing_ogive
fit$ogive_summaryThe function expects one analysis group at a time; filter variables
such as species, sex, stock, or anatomical axis before calling
IncAAM().
Details of the model, method, outputs and applications are provided in Campana, Smoliński, Morrongiello and Black (2026, in press). Users should consult this publication for the methodological background and interpretation of IncAAM outputs.