Nothing
Model <- R6::R6Class("Model",
public = list(
# Create true model parameters.
create = function(...) {
stop(.__ERRORS__$not_implemented)
},
# Generate data from the true model.
generate = function(sample_size, true_parameters, ...) {
stop(.__ERRORS__$not_implemented)
},
# Estimate the true model.
estimate = function(data, ...) {
stop(.__ERRORS__$not_implemented)
},
# Compare true model with an estimated model of the same type.
evaluate = function(true_parameters, estimated_parameters, measure, ...) {
stop(.__ERRORS__$not_implemented)
}
)
)
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