RM.weights-package: Rasch model and extensions for survey data, using Conditional...

In Nwosu/0.9-RM.weights: Weighted Rasch modeling and extensions using Conditional Maximum Likelihood

Description

This package computes the parameter estimates of a Rasch model for dichotomous and polytomous item responses by using weighted CML estimation, including the possibility of using sampling weights. Procedures to calculate prevalence rates of the phenomenon of interest (latent variable) and to equate item parameters across different context are implemented.

Details

Package:	RM.weights
Type:	Package
Version:	1.0
Date:	2014-11-05
License:	GPL (>= 2)

Author(s)

Carlo Cafiero, Mark Nord, Sara Viviani

Maintainer: Sara Viviani <[e-mail]>

Examples

## Not run: 
data(data.FAO_country1_2013)
# Questionnaire data and weights
XX = data.FAO_country1_2013[,1:8]
wt = data.FAO_country1_2013$wt
# Fit weighted Rasch
rr = RM.w(XX, wt)
pp = prob.assign(rr, sthres = seq(-5, 5, 0.01))

## End(Not run)

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