stockseasonr-package: stockseasonr: Seasonal Predictions of Stock Composition and...

stockseasonr-packageR Documentation

stockseasonr: Seasonal Predictions of Stock Composition and Abundance

Description

An integrated model for estimating seasonal changes in abundance and stock composition. Designed and tested using fisheries data, estimates of total abundance assume a negative binomial distribution while composition estimates assume a Dirichlet-multinomial. stockseasonr is intended to generate predictions of composition and group-specific abundance. Group-specific abundance is calculated as the product of predicted total abundance and the probability of encountering a given group. It borrows significant functionality from glmmTMB and sdmTMB. Smooth terms can be incorporated using 's()' notation from mgcv and random intercepts following the familiar lme4 syntax. The full model is fit in TMB. Also includes basic plotting functions.

Author(s)

Maintainer: Cameron Freshwater cameron.freshwater@dfo-mpo.gc.ca

Authors:


pbs-assess/stockseasonr documentation built on April 25, 2024, 12:15 p.m.