Description Details Author(s) Examples

This package computes the parameter estimates of a Rasch model for binary 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.

Package: | RM.weights |

Type: | Package |

Version: | 1.0 |

Date: | 2014-11-05 |

License: | GPL (>= 2) |

Carlo Cafiero, Mark Nord, Sara Viviani

Maintainer: Sara Viviani <[email protected]>

1 2 3 4 5 6 7 8 9 10 | ```
## 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)
``` |

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