iarm (version 0.2.0)

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, 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 "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).

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

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)
# }