ICC.fun: Item caracteristic curves computation and plotting under CML.

In RM.weights: Weighted Rasch Modeling and Extensions using Conditional Maximum Likelihood

Description

Computation and plotting of item caracteristic curves (ICCs) under conditional maximum likelihood (CML).

Usage

ICC.fun(b, plot = FALSE)

Arguments

b	Item severity vector estimated under CML.
plot	Logical. If TRUE, the ICCs are plotted.

Value

icc	Matrix of item characteristic curves. Coloumns are items and rows are severity levels.

Author(s)

Sara Viviani [e-mail]

See Also

RM.w

Examples

data(data.FAO_country2)
# Questionnaire data and weights
XX.country2 = data.FAO_country2[,1:8]
wt.country2 = data.FAO_country2$wt
# Fit weighted Rasch
rr.country2 = RM.w(XX.country2, wt.country2)
b=rr.country2$b
# ICC values
icc = ICC.fun(b)$icc
# ICC plot
icc = ICC.fun(b, plot = TRUE)

Example output

Loading required package: psychotools
Loading required package: Hmisc
Loading required package: lattice
Loading required package: survival
Loading required package: Formula
Loading required package: ggplot2

Attaching package: 'Hmisc'

The following objects are masked from 'package:base':

    format.pval, units

RM.weights documentation built on May 2, 2019, 6:09 a.m.