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Fitting and predicting

Core tools for model fitting, prediction, and inspection.

tinyVAST()
Fit vector autoregressive spatio-temporal model
tinyVASTcontrol()
Control parameters for tinyVAST
predict(<tinyVAST>)
Predict using vector autoregressive spatio-temporal model
summary(<tinyVAST>)
summarize tinyVAST
residuals(<tinyVAST>)
Calculate deviance or response residuals for tinyVAST
integrate_output()
Integration for target variable
cAIC()
Calculate conditional AIC
deviance_explained()
Calculate deviance explained
delta_lognormal() delta_gamma()
Additional families
reload_model()
Reload a previously fitted model
rotate_pca()
Rotate factors to match Principal-Components Analysis
sample_variable()
Sample from predictive distribution of a variable
vcov(<tinyVAST>)
Extract Variance-Covariance Matrix

Graph constructors

Tools to specify interactions.

make_sem_ram()
Make a RAM (Reticular Action Model) from a SEM (structural equation model)
make_dsem_ram()
Make a RAM (Reticular Action Model)
make_eof_ram()
Make a RAM (Reticular Action Model)

Stream network utilities

Tools to work with stream networks.

sfnetwork_evaluator()
Construct projection matrix for stream network
sfnetwork_mesh()
Make mesh for stream network
simulate_sfnetwork()
Simulate GMRF for stream network

Data sets

Data sets used for illustration and testing.

sea_ice
Arctic September sea ice concentrations
salmon_returns
North Pacific salmon returns
condition_and_density
Condition and density example
bering_sea_pollock_ages
Survey catch-rates at age for Alaska pollock in the Eastern and Northern Bering Sea
bering_sea
Survey domain for the eastern and northern Bering Sea surveys
bering_sea_pollock_vast
Estimated proportion-at-age for Alaska pollock using VAST
red_snapper
Presence/absence, count, and biomass data for red snapper
red_snapper_shapefile
Shapefile for red snapper analysis