birtm: Bayesian item response theory modeler

In Famondir/birtms: Creates and analyses Bayesian IRT models

Description

Fits a bayesian IRT model.

Usage

birtm(
  data,
  formula,
  prior = NULL,
  cores = 4,
  file = NULL,
  check_prior_influence = FALSE,
  preparing_bf = FALSE,
  add_waic = TRUE,
  add_loo = TRUE,
  refit = FALSE,
  variable_specifications = NULL,
  model_specifications = NULL,
  ...
)

Arguments

data	Data in long format (i.e. composed with birtms::compose_data)
formula	A brms::formula (i.e. builded with birtms::build_formula)
prior	Bayesian priors in format of brms::prior
cores	Number of CPU cores used to fit the model
file	Path and name the fit object is saved for later reusage (will be loaded automatically if already exists)
check_prior_influence	Boolean
preparing_bf	Boolean
add_waic	Boolean
add_loo	Boolean
refit	Boolean
variable_specifications	A named list
model_specifications	A named list
...	Arguments passed to brms::brm

Value

birtsmsfit object

Examples

## Not run: 
testdata <- birtms::compose_dataset(response_data = data_spm[1:100,], response_columns = i1:i12)
formula_1d_1pl <- birtms::build_formula()
fit_1d_1pl_spm1 <- birtms::birtm(data = testdata, formula = formula_1d_1pl,
file = '../inst/extdata/fit_1d_1pl_spm1')
fit_1d_1pl_spm1

## End(Not run)

Famondir/birtms documentation built on Feb. 18, 2022, 2:51 a.m.