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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) .

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Version

Install

install.packages('RM.weights')

Monthly Downloads

249

Version

2.0

License

GPL (>= 3.0.0)

Maintainer

Sara Viviani

Last Published

April 20th, 2018

Functions in RM.weights (2.0)

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).