RM.weights: Weighted Rasch Modeling and Extensions using Conditional Maximum Likelihood

Rasch model and extensions for survey data, using Conditional Maximum likelihood (CML). Carlo Cafiero, Sara Viviani, Mark Nord (2018) <doi:10.1016/j.measurement.2017.10.065>.

Version: 2.0
Depends: R (≥ 3.0.0), psychotools, Hmisc
Published: 2018-04-20
Author: Carlo Cafiero, Sara Viviani, Mark Nord
Maintainer: Sara Viviani <sara.viviani at yahoo.it>
License: GPL (≥ 3.0.0)
NeedsCompilation: no
CRAN checks: RM.weights results

Documentation:

Reference manual: RM.weights.pdf

Downloads:

Package source: RM.weights_2.0.tar.gz
Windows binaries: r-devel: RM.weights_2.0.zip, r-release: RM.weights_2.0.zip, r-oldrel: RM.weights_2.0.zip
macOS binaries: r-release (arm64): RM.weights_2.0.tgz, r-oldrel (arm64): RM.weights_2.0.tgz, r-release (x86_64): RM.weights_2.0.tgz, r-oldrel (x86_64): RM.weights_2.0.tgz
Old sources: RM.weights archive

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