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Variance partitioning of an sdmTMB model

Source: R/plot.R
plot_variance_partitioning.Rd

Partitions the link-scale variance of a fitted sdmTMB model among its random components (spatial field sigma_O, spatiotemporal field sigma_E, smooth terms, and observation error phi) using sdmTMB::tidy(), and plots the proportion of variance explained by each.

Usage

plot_variance_partitioning(fit, base_size = 11)

Arguments

fit

A fitted sdmTMB::sdmTMB() model.

base_size

Numeric. Base font size. Default 11.

Value

A ggplot object.

See also

sdmTMB::tidy()

Author

Mikko Vihtakari

Examples

# \donttest{
mesh <- sdmTMB::make_mesh(sdmTMB::pcod, c("X", "Y"), cutoff = 20)
m <- sdmTMB::sdmTMB(
  density ~ 0 + as.factor(year), data = sdmTMB::pcod, time = "year",
  mesh = mesh, family = sdmTMB::tweedie()
)
plot_variance_partitioning(m)

# }