Generate 'Stan' Code for Diagnostic Classification Models

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Documentation for package ‘dcmstan’ version 0.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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