person_estimates: Person Estimates with MLE and WLE

In iarm: Item Analysis in Rasch Models

Person Estimates with MLE and WLE

Description

Computes Person estimates with maximum likelihood estimation (MLE) and weighted likelihood estimation (WLE) for raw scores 0 to m.

Usage

person_estimates(object, properties = F, allperson = F)

Arguments

object	An object of class "Rm", a fitted Rasch model or partial credit model using the functions RM or PCM in package eRm, or an object of class "raschmodel" or "pcmodel", a fitted Rasch model or partial credit model using the functions raschmodel or pcmodel in package psychotools.
properties	If TRUE additional properties of the estimates are given (see below).
allperson	If TRUE person estimates (MLE and WLE) for all persons in the data set are delivered.

Value

If properties = False a matrix containing:

Raw score	raw score
MLE	MLE of person parameters
WLE	WLE of person parameters

If properties = TRUE a list with two components, one for MLE and the other for WLE. Each component contains:

Raw score	raw score
MLE or WLE	person estimates
SEM	standard error of measurement
Bias	bias
RMSE	root mean square error
Score.SEM	score sem

Author(s)

Marianne Mueller

References

Christensen, K. B. , Kreiner, S. & Mesbah, M. (Eds.) Rasch Models in Health. Iste and Wiley (2013), pp. 63 - 70.

Examples

rm.mod <- RM(amts[,4:13])
person_estimates(rm.mod)

iarm documentation built on Aug. 27, 2022, 5:06 p.m.