Man pages for evaluator
Quantified Risk Assessment Toolkit

as_tibble.tidyrisk_scenarioCoerce the parameters of a tidyrisk_scenario to a tibble
calculate_max_lossesCalculate maximum losses
compare_tef_vulnCalculate number of loss events which occur in a simulated...
create_templatesCreate a directory structure for risk analysis, pre-populated...
create_tidyrisk_scenario_skeletonCreate a skeleton tidyrisk scenario object in the current...
derive_control_keyDerive control ID to control description mappings
derive_controlsDerive control difficulty parameters for a given qualitative...
dollar_millionsFormat dollar amounts in terms of millions of USD
encode_scenariosEncode qualitative data to quantitative parameters
evaluator-deprecatedDeprecated functions in package 'evaluator'.
evaluator-packageevaluator: Quantified Risk Assessment Toolkit
explore_scenariosLaunch the Scenario Explorer web application
exposure_histogramDisplay a histogram of losses for a scenario
generate_event_outcomes_plotDisplay the distribution of threat events contained vs....
generate_heatmapDisplay a heatmap of impact by domain
generate_reportGenerate sample analysis report
generate_scatterplot-deprecatedDisplay a scatterplot for a particular scenario ID
get_base_fontfamilySelect a base graphics font family
get_mean_control_strengthCalculate difficulty strength across multiple controls by...
identify_outliersUnnest a summarized results dataframe, adding outlier...
import_capabilitiesImport capabilities from survey spreadsheet
import_scenariosImport scenarios from survey spreadsheet
import_spreadsheetImport the scenario spreadsheet
is_tidyrisk_scenarioTest if the object is a tidyrisk_scenario
load_data-deprecatedLoad input and results files
loss_exceedance_curveDisplay the loss exceedance curve for a group of one or more...
loss_scatterplotDisplay a scatterplot of loss events for a scenario
mc_capabilitiesCapabilities
mc_domainsDomain mappings
mc_domain_summaryDomain-level risk summary
mc_mappingsQualitative to quantitative mappings
mc_qualitative_scenariosQualitative information security risk scenarios
mc_quantitative_scenariosQuantified information risk scenarios
mc_scenario_summaryScenario-level risk summary
mc_simulation_resultsSimulation results
new_tidyrisk_scenarioConstruct a quantitative scenario object
openfair_exampleLaunch OpenFAIR demonstration web application
openfair_tef_tc_diff_lmRun an OpenFAIR simulation at the TEF/TC/DIFF/LM levels
openfair_tef_tc_diff_plm_srRun an OpenFAIR simulation at the TEF/TC/DIFF/PLM/SR levels
pipePipe operator
print.tidyrisk_scenarioDefault printing of a tidyrisk_scenario
read_qualitative_inputsLoad qualitative inputs
read_quantitative_inputsLoad quantitative inputs
risk_dashboardLaunch a single page summary risk dashboard
risk_factoryCreate a tidyrisk_factor sample function
run_simulationRun simulations for a scenario
run_simulationsRun simulations for a list of scenarios
sample_diffCalculate the difficulty presented by controls, given a...
sample_lefSample loss event frequency
sample_lmGiven a number of loss events and a loss distribution,...
sample_tcSample threat capabilities (TC) from a distribution function
sample_tefCalculate the number of simulated threat event frequencies...
sample_vulnCalculate the vulnerability
select_loss_opportunitiesDetermine which threat events result in loss opportunities
split_sheetSplit a sheet of the survey spreadsheet into either...
summarize_domainsCreate domain-level summary of simulation results
summarize_iterationsCreate a summary of outcomes across all scenarios
summarize_scenarioCreate a summary of the simulation results for a single...
summarize_to_diskCreate all summary files and write to disk
theme_evaluatorDefault ggplot theme used by all Evaluator-supplied graphics
tidyrisk_factorConstruct a tidyrisk_factor object
validate_scenariosValidate qualitative scenario data
validate_tidyrisk_scenarioValidates that a scenario object is well formed
vec_cast.tidyrisk_factorCast a 'tidyrisk_factor' vector to a specified type
vec_ptype_abbr.tidyrisk_scenarioSet an abbreviation when displaying an S3 column in a tibble
evaluator documentation built on July 6, 2021, 9:06 a.m.