Generate 'Stan' Code for Diagnostic Classification Models
Generate mastery profiles
S7 model specification class
Specify a diagnostic classification model
S7 prior class
dcmstan: Generate 'Stan' Code for Diagnostic Classification Models
Default priors for diagnostic classification models
Generated quantities for diagnostic classification
Identify parameters included in a diagnostic classification model
Measurement models for diagnostic classification
Coerce a dcmprior object to a tibble
Prior definitions for diagnostic classification models
Generate 'Stan' code for a diagnostic classification models
Create a list of data objects for 'Stan'
Structural models for diagnostic classification
Diagnostic classification models are psychometric models used to categorically estimate respondents mastery, or proficiency, on a set of predefined skills (Bradshaw, 2016, <doi:10.1002/9781118956588.ch13>). Diagnostic models can be estimated with 'Stan'; however, the necessary scripts can be long and complicated. This package automates the creation of 'Stan' scripts for diagnostic classification models. Specify different types of diagnostic models, define prior distributions, and automatically generate the necessary 'Stan' code for estimating the model.
Useful links