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RM.weights  

Weighted Rasch Modeling and Extensions using Conditional Maximum Likelihood
View on CRAN: Click here


Download and install RM.weights package within the R console
Install from CRAN:
install.packages("RM.weights")

Install from Github:
library("remotes")
install_github("cran/RM.weights")

Install by package version:
library("remotes")
install_version("RM.weights", "2.0")



Attach the package and use:
library("RM.weights")
Maintained by
Sara Viviani
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-07-15
Latest Update: 2018-04-20
Description:
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>.
How to cite:
Sara Viviani (2016). RM.weights: Weighted Rasch Modeling and Extensions using Conditional Maximum Likelihood. R package version 2.0, https://cran.r-project.org/web/packages/RM.weights
Previous versions and publish date:
1.0 (2016-07-15 14:07)
Other packages that cited RM.weights R package
View RM.weights citation profile
Other R packages that RM.weights depends, imports, suggests or enhances
Functions, R codes and Examples using the RM.weights R package
Some associated functions: EWaldtest . ICC.fun . PC.w . RM.w . RM.weights-package . RT.thres . data.FAO_country1 . data.FAO_country2 . data.FAO_country3 . data.FAO_country4 . equating.fun . pkg-internal . prob.assign . tab.weight . 
Some associated R codes: EWaldtest.R . ICC.fun.R . PC.w.R . RM.w-internal.R . RM.w.R . RT.thres.R . prob.assign.R . tab.weight.R . wle.a.R .  Full RM.weights package functions and examples
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