Build a compiled likelihood context from a model

Compile the model's response rules and dependencies for likelihood evaluation. Reuse the context across candidate parameter values and datasets for the same model. Prepare each dataset with prepare_data().

Usage

make_context(structure, diagnostics = FALSE)

Arguments

structure: Finalized model structure.
diagnostics: If TRUE, collect model compilation statistics for complexity_metrics().

Value

An accumulatr_context object.

Examples

spec <- race_spec()
spec <- add_accumulator(spec, "A", "lognormal")
spec <- add_outcome(spec, "A_win", "A")
structure <- finalize_model(spec)
make_context(structure)
#> $cpp
#> <pointer: 0x5580decf95b0>
#> 
#> $outcome_labels
#> [1] "A_win"
#> 
#> $observed_outcome_labels
#> [1] "A_win"
#> 
#> attr(,"class")
#> [1] "accumulatr_context"