Weighted Rasch Modeling and Extensions using Conditional Maximum Likelihood

Documentation for package ‘RM.weights’ version 2.0

RM.weights-package	Rasch model and extensions for survey data, using Conditional Maximum likelihood (CML).
data.FAO_country1	Food insecurity data for a GWP country (Country1).
data.FAO_country2	Food insecurity data for a GWP pilot country (Country2).
data.FAO_country3	Food insecurity data for a GWP pilot country (Country3).
data.FAO_country4	Food insecurity data for a GWP pilot country (Country4).
equating.fun	Equating scales between different application contexts.
EWaldtest	Wald test to check sampling independence under CML.
ICC.fun	Item caracteristic curves computation and plotting under CML.
PC.w	Estimation of the weighted partial credit model using CML
prob.assign	Probabilistic assignment of cases to classes of severity along the latent trait.
RM.w	Estimation of the weighted Rasch model using CML
RT.thres	Rasch-Thurstone thresholds for trichotomous scales under CML.
tab.weight	Rasch descriptives and weighted tables.