strategy-hierarchical: Hierarchical Estimation Strategy for FB4 Model

In fb4package: 'Fish Bioenergetics 4.0' Model Implementation with High-Performance 'TMB' Backend

Hierarchical Estimation Strategy for FB4 Model

Description

Implements the "hierarchical" FB4 fitting strategy, which estimates population-level and individual-level p-values using a hierarchical mixed-effects model compiled with TMB. Individual p_values are treated as random effects (log_p_individual), while the population mean (mu_p) and standard deviation (sigma_p) are fixed-effect hyperparameters. Optional covariates can be supplied to explain variation in mu_p across individuals.

Value

No return value; this page documents the hierarchical estimation strategy functions. See individual function documentation for return values.

References

Deslauriers, D., Chipps, S.R., Breck, J.E., Rice, J.A. and Madenjian, C.P. (2017). Fish Bioenergetics 4.0: An R-based modeling application. Fisheries, 42(11), 586–596. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/03632415.2017.1377558")}

Kristensen, K., Nielsen, A., Berg, C.W., Skaug, H. and Bell, B.M. (2016). TMB: Automatic differentiation and Laplace approximation. Journal of Statistical Software, 70(5), 1–21. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v070.i05")}

fb4package documentation built on May 8, 2026, 1:07 a.m.