Hierarchical Estimation Strategy for FB4 Model

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. 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. doi:10.18637/jss.v070.i05