R: Generate 'Stan' Code for Diagnostic Classification Models

# Generate 'Stan' Code for Diagnostic Classification Models

## Documentation for package ‘dcmstan’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

bayesnet | Structural models for diagnostic classification
create_profiles | Generate mastery profiles
crum | Measurement models for diagnostic classification
dcmprior | S7 prior class
dcm_specification | S7 model specification class
dcm_specify | Specify a diagnostic classification model
default_dcm_priors | Default priors for diagnostic classification models
dina | Measurement models for diagnostic classification
dino | Measurement models for diagnostic classification
generated-quantities | Generated quantities for diagnostic classification
generated_quantities | Generated quantities for diagnostic classification
get_parameters | Identify parameters included in a diagnostic classification model
hdcm | Structural models for diagnostic classification
independent | Structural models for diagnostic classification
lcdm | Measurement models for diagnostic classification
loglinear | Structural models for diagnostic classification
measurement-model | Measurement models for diagnostic classification
ncrum | Measurement models for diagnostic classification
nida | Measurement models for diagnostic classification
nido | Measurement models for diagnostic classification
prior | Prior definitions for diagnostic classification models
prior_string | Prior definitions for diagnostic classification models
prior_tibble | Coerce a dcmprior object to a tibble
stan_code | Generate 'Stan' code for a diagnostic classification models
stan_data | Create a list of data objects for 'Stan'
structural-model | Structural models for diagnostic classification
unconstrained | Structural models for diagnostic classification