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
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