# Quantified Risk Assessment Toolkit

## Documentation for package ‘evaluator’ version 0.4.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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
evaluator | 'evaluator' package
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