no_test: no test will be conducted, but rasch models (RM, PCM, RSM -...

In exhaustiveRasch: Item Selection and Exhaustive Search for Rasch Models

no test will be conducted, but rasch models (RM, PCM, RSM - depending on modelType) will be fit

Description

no test will be conducted, but rasch models (RM, PCM, RSM - depending on modelType) will be fit

Usage

no_test(
  items = NULL,
  dset = NULL,
  na.rm = TRUE,
  model = NULL,
  p.par = NULL,
  modelType = NULL,
  estimation_param = NULL
)

Arguments

items	a numeric vector containing the index numbers of the items in dset that are used to fit the model
dset	a data.frame containing the data
na.rm	a boolean value. If TRUE, all cases with any NA are removed (na.omit). If FALSE, only cases with full NA responses are removed
model	on object of a fit Rasch model, estimated with the packages 'eRm' (classes 'RM', 'PCM' or 'RSM'), 'psychotools' (classes raschmodel, 'pcmodel' or 'rsmodel') or 'pairwise' (class 'pers'), matching the value of modelType. If 'model' is provided, this model is used. If NULL, a model is fit using 'dset' and 'items'.
p.par	a person parameter object matching the class of 'model'. If NULL, the person parameters will be estimated.
modelType	a character value defining the rasch model to fit. Possible values: "RM", "PCM", "RSM".
estimation_param	options for parameter estimation using estimation_control

Value

if there are no items with disordered thresholds in the model, a list containing two elements is returned: the pattern that was tested and a list of type RM, RCM or RSM (depending on modelType) with the fit model. If there is at least one item with disordered thresholds, NULL is returned.

exhaustiveRasch documentation built on April 3, 2025, 6:18 p.m.