edstan attempts to make easy the fitting of standard item response theory models using rstan.
A user will generally want to use the following functions (in order) to fit a model:
irt_data to format the data,
irt_stan to fit a model, and
print_irt_stan to view some results.
Additionally, labelled_integer is some times helpful for data
formatting and stan_columns_plot creates a plots of convergence
and other statistics by parameter vector. The package also includes six Stan
models (see irt_stan for a list) and two example datasets
(aggression and spelling).
It is expected that once a user is comfortable fitting pre-defined
edstan models, they will write their own Stan models and fit them with
stan, for which irt_stan is a wrapper.
Case studies for each of the edstan models have been published.
Rasch and two-parameter logistic models
http://mc-stan.org/documentation/case-studies/rasch_and_2pl.html
(Generalized) partial credit model
http://mc-stan.org/documentation/case-studies/pcm_and_gpcm.html
(Generalized) rating scale model
http://mc-stan.org/documentation/case-studies/rsm_and_grsm.html