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

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

Description

This package computes parameter estimates and assessment statistics of a single-parameter Rasch model for dichotomous and polytomous (partial credit) item responses using CML estimation, including optional use of sampling weights. Procedures to calculate prevalence rates of the phenomenon of interest (latent variable) and to equate item parameters across different contexts are implemented.

Details

Package:	RM.weights
Type:	Package
Version:	2.0
Date:	2017-11-14
License:	GPL (>= 3)

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)

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