Package index • AccumulatR

Package Overview

Documentation Overview

AccumulatR AccumulatR-package: AccumulatR: Simulate and fit evidence-accumulation models

Model Specification

Define accumulators, outcomes, components, triggers, and finalize a race model.

race_spec(): Start a race-model specification

add_accumulator(): Add an accumulator to a model

add_pool(): Pool several accumulators under a shared label

add_outcome(): Define an observed response

add_component(): Define a mixture component

set_parameters(): Define the external parameter names for a model

add_trigger(): Add a shared trigger or gate

set_metadata(): Store model-level metadata

set_mixture_options(): Control how mixture components are combined

finalize_model(): Compile a model for simulation and fitting

Outcome Expressions and Timing

Compose outcome rules and onset dependencies.

build_outcome_expr(): Turn a response rule into an internal expression

all_of(): Define a response that requires several processes to finish

first_of(): Define a response that occurs when the first listed process finishes

none_of(): Define the absence of an event

inhibit(): Define a response that is blocked by another process

expr_guard(): Build a blocking rule explicitly

after(): Start one accumulator after another process finishes

Data Preparation

Inspect model parameters and prepare trial-level parameter matrices.

prepare_data(): Prepare behavioral data for likelihood evaluation

sampled_pars(): List the free parameters implied by a model

build_param_matrix(): Create trial-level parameter values

Likelihood and Simulation

Build native likelihood contexts, simulate observations, and evaluate probabilities.

make_context(): Build a compiled likelihood context from a model

log_likelihood(): Evaluate the log-likelihood of behavioral data

simulate(): Simulate behavioral data from a model

response_probabilities(): Evaluate marginal response probabilities

Visualization

Plot and inspect model structure.

processing_tree(): Draw a processing tree for the responses in a model

plot_accumulators(): Plot accumulators and their timing relations