R: Weighted Rasch Modeling and Extensions using Conditional Maximum Likelihood

# Weighted Rasch Modeling and Extensions using Conditional Maximum Likelihood

## Documentation for package ‘RM.weights’ version 2.0

- DESCRIPTION file

## Help Pages

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.