1d:T4de,# Check if `` or list of `` objects contains a distribution and distribution parameters ```r is_parameterised(x, ...) is_parameterized(x, ...) ## S3 method for class 'epiparameter' is_parameterised(x, ...) ## S3 method for class 'multi_epiparameter' is_parameterised(x, ...) ``` ## Arguments - `x`: An `` or list of `` objects. - `...`: dots Extra arguments to be passed to the method. ## Returns A single boolean `logical` for `` or vector of `logical`s equal in length to the list of `` objects input. If the `` object is missing either a probability distribution or parameters for the probability distribution returns `FALSE`, otherwise it returns `TRUE`. ## Examples ```r # parameterised ep <- epiparameter( disease = "ebola", epi_name = "incubation", prob_distribution = create_prob_distribution( prob_distribution = "gamma", prob_distribution_params = c(shape = 1, scale = 1) ) ) is_parameterised(ep) # unparameterised ep <- epiparameter( disease = "ebola", epi_name = "incubation" ) is_parameterised(ep) # list of db <- epiparameter_db() is_parameterised(db) ```1e:T49a,M7.49933 0.25C3.49635 0.25 0.25 3.49593 0.25 7.50024C0.25 10.703 2.32715 13.4206 5.2081 14.3797C5.57084 14.446 5.70302 14.2222 5.70302 14.0299C5.70302 13.8576 5.69679 13.4019 5.69323 12.797C3.67661 13.235 3.25112 11.825 3.25112 11.825C2.92132 10.9874 2.44599 10.7644 2.44599 10.7644C1.78773 10.3149 2.49584 10.3238 2.49584 10.3238C3.22353 10.375 3.60629 11.0711 3.60629 11.0711C4.25298 12.1788 5.30335 11.8588 5.71638 11.6732C5.78225 11.205 5.96962 10.8854 6.17658 10.7043C4.56675 10.5209 2.87415 9.89918 2.87415 7.12104C2.87415 6.32925 3.15677 5.68257 3.62053 5.17563C3.54576 4.99226 3.29697 4.25521 3.69174 3.25691C3.69174 3.25691 4.30015 3.06196 5.68522 3.99973C6.26337 3.83906 6.8838 3.75895 7.50022 3.75583C8.1162 3.75895 8.73619 3.83906 9.31523 3.99973C10.6994 3.06196 11.3069 3.2

is_parameterised function