This function implements an iterative latent class analysis (ILCA; Jiang, 2019) approach to estimating attributes for cognitive diagnosis.
Usage
ILCA(dat, Q, seed.num = 5)
Arguments
- dat
A required binary item response matrix.
- Q
A required binary item and attribute association matrix.
- seed.num
seed number; Default = 5.
Value
Estimated attribute profiles.
References
Jiang, Z. (2019). Using the iterative latent-class analysis approach to improve attribute accuracy in diagnostic classification models. Behavior research methods, 1-10.
Author
Zhehan Jiang, Peking University
Examples
if (FALSE) { # \dontrun{
ILCA(sim10GDINA$simdat, sim10GDINA$simQ)
} # }