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

In Nwosu/0.9-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 = F)

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

## Not run: 
data(data.FAO_country2)
# Questionnaire data and weights
XX.country2 = data.FAO_country2[,1:8]
wt.country2 = data.FAO_country2$wt
# Fit weighted Rasch
rr.country2 = RM.w(XX.country2, wt.country2)
# ICC values
icc = ICC.fun(b)$icc
# ICC plot
icc = ICC.fun(b, plot = T)

## End(Not run)

Nwosu/0.9-RM.weights documentation built on May 7, 2019, 8:20 p.m.