collector is an R package for conducting interviews with subject matter experts (SMEs) on the risk scenarios facing an organization. It offers functions for the following stages of input collection:
- generate scenario and capability questions
- building interview artifacts, including progress card, slide decks, and handouts
- calibration testing, similar to that promoted by Doug Hubbard and the FAIR Institute
- distribution fitting
- opinion pooling of multiple SMEs into a single representative distribution
- generating quantitative risk scenarios for simulation and reporting by Evaluator
Collector is now available on CRAN.
If you wish to run the development (and potentially bleeding edge)
version, you can install directly from GitHub via the following
# install.packages("remotes") remotes::install_github("davidski/collector")
Build questions and define SME expertise
Read in the question set. See
read_questions()for more information.
library(collector) questions <- read_questions()
Generate materials for interviewing a SME.
output_dir <- tempdir() make_handouts("Leader Name", questions, output_dir) make_scorecard("Leader Name", questions, output_dir) make_slides("Leader Name", questions, output_dir)
Read in the responses from your SMEs. See
read_responses()documentation for more information.
responses <- read_responses()
Fit the SME answers to distributions.
scenario_answers_fitted <- fit_scenarios(responses) capability_answers_fitted <- fit_capabilities(responses)
Combine distributions into final parameters, applying weighting based on each SMEs level of calibration.
sme_weightings <- generate_weights(questions, responses) scenario_parameters <- left_join(scenario_answers_fitted, sme_weightings, by = "sme") %>% combine_scenario_parameters() capability_parameters <- left_join(capability_answers_fitted, sme_weightings, by = "sme") %>% combine_capability_parameters()
Build quantitative scenarios for evaluator.
scenarios <- prepare_data(scenario_parameters, capability_parameters, threat_parameters, questions)
This project is governed by a Code of Conduct. By participating in this project you agree to abide by these terms.
The MIT License applies.