Man pages for collector
Quantified Risk Assessment Data Collection
| 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... |
| combine_lognorm_trunc | Weight a set of lognormal parameters into a single... |
| 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... |
| enforce_tidyrisk_response_set | Validate that the parameter passed is a... |
| 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... |
| fit_lognorm_trunc | Find parameters that fit quantile values of an unknown... |
| fit_norm_trunc | Find parameters that fit quantile values of an unknown... |
| 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... |
| get_smes_domains | Calculate the prioritized list of domains for a given subject... |
| 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... |
| 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 |
| pipe | Pipe operator |
| prepare_data | Create one or more quantitative scenarios objects suitable... |
| 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 |
