_pkgdown.yml

template:
  params:
    bootswatch: flatly

reference:

- title: Workflow steps

- subtitle: Casting boundaries
  desc: Create a spatial boundaries object for your model
- contents:
  - spm_as_boundary
  - sspm_boundary-class

- subtitle: Discretizing boundaries
  desc: Discretize your spatial boundaries object into patches
- contents:
  - spm_discretize
  - sspm_discrete_boundary-class
  - tesselate_voronoi
  - triangulate_delaunay
  - spm_methods
  - as_discretization_method
  - discretization_method-class

- subtitle: Casting datasets
  desc: Create dataset objects for your raw variables
- contents:
  - spm_as_dataset
  - sspm_dataset-class

- subtitle: Smoothing biomass
  desc: Smooth the raw variables using gams
- contents:
  - spm_smooth
  - spm_smooth_methods
  - smooth_time
  - smooth_space
  - smooth_space_time

- subtitle: Aggregating catch
  desc: Aggregate the catch data according to discretized boundaries
- contents:
  - spm_aggregate_catch
  - spm_aggregate

- subtitle: Assembling and modifiying SSPM objects
  desc: Assemble the model object and prepare it for fitting
- contents:
  - sspm
  - sspm-class
  - spm_split
  - spm_lag

- subtitle: Fitting the surplus production model
  desc: Fit the model
- contents:
  - spm
  - sspm_fit-class
  - sspm_formula-class
  - summary

- subtitle: Predict and plot
  desc: Predict and plot results
- contents:
  - predict
  - predict_intervals
  - plot

- title: Datasets
  desc: Datasets used in the vignette
- contents:
  - borealis_simulated
  - catch_simulated
  - predator_simulated
  - sfa_boundaries

- title: Accessors
  desc: Accessors method for various objects
- contents:
  - starts_with("spm_boundaries")
  - starts_with("sspm_boundary")
  - extract
  - spm_data
  - spm_unique_ID
  - raw_formula
  - method_func