This R package manages the heavy lifting of keeping track of the various data generation algorithms that I am using to do simulation work on CDA models. Currently there are data generation algorithms (in various states of functionality!) for:
- R-DINA with a simple 2 attribute Q-matrix
- R-DINA with the Hartz Roussos Q-matrix (low)
- RUM Hartz Roussos with Q-matrix (low)
- R-RUM Hartz Roussos with Q-matrix (low)
Included Q-matrices are:
- Simple Q-matrix (2 attribute, 30 item)
- Hartz Roussos Q-matrix (Low cognitive complexity; 7 attribute, 40 item)
This is very much a work in progress! The goal is to have fully functional algorithms that are fully tested using testthat. The current code coverage levels may or may not indicate completeness/quality of tests (yet).
q <- hartzRoussosQ() data <- rDINASimpleQ(500)
Simulation work is hard enough without having to worry about managing and testing the data simulation algorithms.
Install using devtools using the repo URL.
Test run as part of a CI environment using testthat.
Dave Rackham [email protected]
MIT License (see License.txt)