person_estimates: Person estimates with MLE and WLE

Description Usage Arguments Value Author(s) References Examples

View source: R/Person-Fit.R

Description

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

Usage

1
person_estimates(object, properties = F)

Arguments

object

object of class eRm, a fitted Rasch model oder partial credit model using the functions RM or PCM in package eRm.

properties

if TRUE additional properties of the estimates are given (see below).

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

1
2
rm.mod <- RM(amts[,4:13])
person_estimates(rm.mod)

muellermarianne/iarm documentation built on Oct. 17, 2017, 5:49 p.m.