Symbolize an sdmTMB fit (Gaussian, v0.12 first slice)

Builds a symbolized_model from an sdmTMB fit. v0.12 first slice covers Gaussian models with optional spatial random field (spatial = "on") and / or spatiotemporal random field via the time argument. Non-Gaussian families, delta models, and spatial_varying slopes are routed through the capability registry.

Usage

# S3 method for class 'sdmTMB'
symbolize(fit, symbols = NULL, units = NULL, context = NULL, ...)

Arguments

fit

A fitted statistical model object.

symbols

Optional named character vector mapping variable names to user-supplied LaTeX symbols, e.g. c(body_mass = "W_i", temperature = "T_i").

units

Optional named character vector mapping variable names to units, e.g. c(body_mass = "g", temperature = "C").

context

Optional short character description of the model, e.g. "avian body-size location-scale model".

...

Reserved for method-specific extra arguments.

Value

A symbolized_model object.

Confidence intervals

Fixed-effect CIs come from sdmTMB::tidy(fit) (Wald, 95% by default). Random-parameter CIs (range, spatial SD, spatiotemporal SD) come from sdmTMB::tidy(fit, "ran_pars") and appear in variance_components.

References

Anderson, S. C., Ward, E. J., English, P. A., & Barnett, L. A. K. (2022). sdmTMB: an R package for fast, flexible, and user-friendly generalized linear mixed effects models with spatial and spatiotemporal random fields. bioRxiv. doi:10.1101/2022.03.24.485545