birtm_aio: All-in-one bayesian item response theory modeler

In Famondir/birtms: Creates and analyses Bayesian IRT models

Description

A wrapper function to fit a bayesian IRT model with one command.

Usage

birtm_aio(
  response_data,
  response_columns,
  person_data = NULL,
  item_data = NULL,
  situation_data = NULL,
  variable_specifications = NULL,
  model_specifications = NULL,
  prior = NULL,
  cores = 4,
  file = NULL,
  check_prior_influence = FALSE,
  preparing_bf = FALSE,
  add_waic = FALSE,
  add_loo = FALSE,
  refit = FALSE,
  ...
)

Arguments

response_data	A tibble or dataframe with person identifiers and responsdata (and possibly person covariables).
response_columns	A character or symbol vector with all columns that represent item responses or a range of columns specified corresponding to dplyr::select() rules (e. g.: item01:item25).
person_data	A tibble or dataframe with person identifiers linked to person covariables.
item_data	A tibble or dataframe with item identifiers linked to item covariables.
situation_data	A tibble or dataframe with person and item identifiers linked to situation covariables.
variable_specifications	Named list of characters or strings.
model_specifications	Named list of strings and numerics.
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	Booleans
add_waic	Boolean
add_loo	Boolean
refit	Boolean
...	Arguments passed to brms::brm

Value

birtsmsfit object

Examples

## Not run: 
testdata <- data_spm[1:100,] # take only 1/5th of the data to speed up the examplary model fitting
fit_1d_1pl_spm2 <- birtms::birtm_aio(response_data = testdata, response_columns = i1:i12,
file = '../inst/extdata/fit_1d_1pl_spm2')
fit_1d_1pl_spm2

## End(Not run)

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