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IncAAM

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:

IncAAM also calculates posterior threshold-crossing probabilities by increment number and fits a logistic crossing ogive, providing an estimated ogive A50.

Installation

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()

Dependencies

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()

Example

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_summary

The function expects one analysis group at a time; filter variables such as species, sex, stock, or anatomical axis before calling IncAAM().

Methodological reference

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.

Output definitions

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.