calibration_questions   Calibration questions
check_readability       Check the readability of scenario text
clean_answers           Clean extreme answers
collector               'collector' package
combine_capability_parameters
                        Combine multiple SME distributions into a
                        single unified view
combine_lognorm         Weight a set of lognormal parameters into a
                        single distribution
combine_lognorm_trunc   Weight a set of lognormal parameters into a
                        single distribution
combine_norm            Weight a set of normal parameters into a single
                        distribution
combine_scenario_parameters
                        Combine multiple SME distributions into a
                        single unified view
derive_controls         Generate the quantified capability parameters
                        for a scenario
enforce_tidyrisk_question_set
                        Validate that the parameter passed is a
                        'tidyrisk_question_set' object
enforce_tidyrisk_response_set
                        Validate that the parameter passed is a
                        'tidyrisk_response_set' object
fit_capabilities        Fit SME capability estimates to distribution
                        parameters
fit_capabilities_geomean
                        Fit capability parameters via a geometric mean
fit_lognorm             Find parameters that fit quantile values of an
                        unknown lognormal distribution
fit_lognorm_trunc       Find parameters that fit quantile values of an
                        unknown truncated lognormal distribution
fit_norm_trunc          Find parameters that fit quantile values of an
                        unknown truncated normal distribution
fit_pois                Find parameters that fit a poisson
                        distribution.
fit_scenarios           Fit SME scenario estimates to distribution
                        parameters
fit_scenarios_geomean   Fit scenario parameters by applying a geometric
                        mean
fit_threat_communities
                        Fit each of the threat communities to a
                        distribution
generate_cost_function
                        Generate a sum of squares cost function for
                        optimization
generate_weights        Generate a weighting table for SMEs based upon
                        their calibration answers
get_smes_domains        Calculate the prioritized list of domains for a
                        given subject matter expert (SME)
is_tidyrisk_question_set
                        Test if the object is a tidyrisk_question_set
is_tidyrisk_response_set
                        Test if the object is a tidyrisk_response_set
lognormal_to_normal     Convert lognormal parameters to normal
                        parameters
make_handouts           Create a set of interview handouts for a SME
make_scorecard          Create a scorecard for marking progress through
                        domains in an interview
make_slides             Create interview slides
mc_calibration_answers
                        MetroCare Hospital Calibration Answers
mc_capabilities         MetroCare Hospital Capabilities
mc_capability_answers   MetroCare Hospital Capability Answers
mc_capability_parameters_fitted
                        MetroCare Hospital Capability Parameters
                        (fitted)
mc_domains              MetroCare Hospital Domains
mc_scenario_answers     MetroCare Hospital Scenario Answers
mc_scenario_parameters_fitted
                        MetroCare Hospital Scenario Parameters (fitted)
mc_scenarios            MetroCare Risk Scenarios
mc_sme_top_domains      MetroCare Hospital SME Top Domains
mc_threat_communities   MetroCare Hospital Threat Communities
mc_threat_parameters_fitted
                        MetroCare Hospital Threat Parameters (fitted)
normal_to_lognormal     Convert normal parameters to lognormal
                        parameters
prepare_data            Create one or more quantitative scenarios
                        objects suitable for simulation by 'evaluator'
read_questions          Read scenario questions
read_responses          Read all SMEs responses
tidyrisk_question_set   Construct a tidyrisk_question_set object
tidyrisk_response_set   Construct a tidyrisk_response_set object
