RDocumentation
Moon
Learn R
Search all packages and functions
RM.weights (version 2.0)
Weighted Rasch Modeling and Extensions using Conditional Maximum Likelihood
Description
Rasch model and extensions for survey data, using Conditional Maximum likelihood (CML). Carlo Cafiero, Sara Viviani, Mark Nord (2018)
.
Copy Link
Copy
Link to current version
Version
Version
2.0
1.0
Down Chevron
Install
install.packages('RM.weights')
Monthly Downloads
291
Version
2.0
License
GPL (>= 3.0.0)
Maintainer
Sara Viviani
Last Published
April 20th, 2018
Functions in RM.weights (2.0)
Search functions
ICC.fun
Item caracteristic curves computation and plotting under CML.
equating.fun
Equating scales between different application contexts.
internals
Internal Functions
prob.assign
Probabilistic assignment of cases to classes of severity along the latent trait.
tab.weight
Rasch descriptives and weighted tables.
data.FAO_country3
Food insecurity data for a GWP pilot country (Country3).
RM.weights-package
Rasch model and extensions for survey data, using Conditional Maximum likelihood (CML).
data.FAO_country4
Food insecurity data for a GWP pilot country (Country4).
PC.w
Estimation of the weighted partial credit model using CML
EWaldtest
Wald test to check sampling independence under CML.
RM.w
Estimation of the weighted Rasch model using CML
data.FAO_country1
Food insecurity data for a GWP country (Country1).
RT.thres
Rasch-Thurstone thresholds for trichotomous scales under CML.
data.FAO_country2
Food insecurity data for a GWP pilot country (Country2).