Quantified Risk Assessment Toolkit


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Documentation for package ‘evaluator’ version 0.4.3

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as.data.frame.tidyrisk_scenario Coerce the parameters of a tidyrisk_scenario to a tibble
as_tibble.tidyrisk_scenario Coerce the parameters of a tidyrisk_scenario to a tibble
calculate_max_losses Calculate maximum losses
compare_tef_vuln Calculate number of loss events which occur in a simulated period
create_templates Create a directory structure for risk analysis, pre-populated with templates
create_tidyrisk_scenario_skeleton Create a skeleton tidyrisk scenario object in the current document
derive_controls Derive control difficulty parameters for a given qualitative scenario
derive_control_key Derive control ID to control description mappings
dollar_millions Format dollar amounts in terms of millions of USD
encode_scenarios Encode qualitative data to quantitative parameters
explore_scenarios Launch the Scenario Explorer web application
exposure_histogram Display a histogram of losses for a scenario
generate_event_outcomes_plot Display the distribution of threat events contained vs. realized across all domains
generate_heatmap Display a heatmap of impact by domain
generate_report Generate sample analysis report
get_base_fontfamily Select a base graphics font family
get_mean_control_strength Calculate difficulty strength across multiple controls by taking the mean
identify_outliers Unnest a summarized results dataframe, adding outlier information
import_capabilities Import capabilities from survey spreadsheet
import_scenarios Import scenarios from survey spreadsheet
import_spreadsheet Import the scenario spreadsheet
is_tidyrisk_scenario Test if the object is a tidyrisk_scenario
loss_exceedance_curve Display the loss exceedance curve for a group of one or more scenarios
loss_scatterplot Display a scatterplot of loss events for a scenario
mc_capabilities Capabilities
mc_domains Domain mappings
mc_domain_summary Domain-level risk summary
mc_mappings Qualitative to quantitative mappings
mc_qualitative_scenarios Qualitative information security risk scenarios
mc_quantitative_scenarios Quantified information risk scenarios
mc_scenario_summary Scenario-level risk summary
mc_simulation_results Simulation results
new_tidyrisk_factor Construct a tidyrisk_factor object
new_tidyrisk_scenario Construct a quantitative scenario object
openfair_example Launch OpenFAIR demonstration web application
openfair_tef_tc_diff_lm Run an OpenFAIR simulation at the TEF/TC/DIFF/LM levels
openfair_tef_tc_diff_plm_sr Run an OpenFAIR simulation at the TEF/TC/DIFF/PLM/SR levels
print.tidyrisk_scenario Default printing of a tidyrisk_scenario
read_qualitative_inputs Load qualitative inputs
read_quantitative_inputs Load quantitative inputs
risk_dashboard Launch a single page summary risk dashboard
risk_factory Create a tidyrisk_factor sample function
run_simulation Run simulations for a scenario
run_simulations Run simulations for a list of scenarios
sample_diff Calculate the difficulty presented by controls, given a function and parameters for that function
sample_lef Sample loss event frequency
sample_lm Given a number of loss events and a loss distribution, calculate losses
sample_tc Sample threat capabilities (TC) from a distribution function
sample_tef Calculate the number of simulated threat event frequencies (TEF)
sample_vuln Calculate the vulnerability
select_loss_opportunities Determine which threat events result in loss opportunities
split_sheet Split a sheet of the survey spreadsheet into either capabilities or threats
summarize_domains Create domain-level summary of simulation results
summarize_iterations Create a summary of outcomes across all scenarios
summarize_scenario Create a summary of the simulation results for a single scenario
summarize_scenarios Create a summary of the simulation results for a single scenario
summarize_to_disk Create all summary files and write to disk
theme_evaluator Default ggplot theme used by all Evaluator-supplied graphics
tidyrisk_factor Construct a tidyrisk_factor object
tidyrisk_scenario Construct a quantitative scenario object
validate_scenarios Validate qualitative scenario data
validate_tidyrisk_scenario Validates that a scenario object is well formed
vec_cast.tidyrisk_factor Cast a 'tidyrisk_factor' vector to a specified type
vec_ptype_abbr.tidyrisk_scenario Set an abbreviation when displaying an S3 column in a tibble