iarm (version 0.1.2)

person_estimates: 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)

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 "pcmodel", a fitted partial credit model using the function pcmodel in package psychotools.

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

References

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

Examples

# NOT RUN {
rm.mod <- RM(amts[,4:13])
person_estimates(rm.mod)
# }