all_rawscores: checks if all possible raw scores occur in the data.

In exhaustiveRasch: Item Selection and Exhaustive Search for Rasch Models

checks if all possible raw scores occur in the data.

Description

checks if all possible raw scores occur in the data.

Usage

all_rawscores(
  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 all possible raw scores occur in dset, a list containing 3 elements is returned: the item combination that was tested, a list of the class the model was estimated with (depending on modelType and estimation_param$est) with the fit model and a list with a person parameter object (depending on estimation_param$est). If at least one raw score does not occur in dset, NULL is returned.

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