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iarm  

Item Analysis in Rasch Models
View on CRAN: Click here


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

Install from Github:
library("remotes")
install_github("cran/iarm")

Install by package version:
library("remotes")
install_version("iarm", "0.4.3")



Attach the package and use:
library("iarm")
Maintained by
Marianne Mueller
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-06
Latest Update: 2022-08-27
Description:
Tools to assess model fit and identify misfitting items for Rasch models (RM) and partial credit models (PCM). Included are item fit statistics, item characteristic curves, item-restscore association, conditional likelihood ratio tests, assessment of measurement error, estimates of the reliability and test targeting as described in Christensen et al. (Eds.) (2013, ISBN:978-1-84821-222-0).
How to cite:
Marianne Mueller (2019). iarm: Item Analysis in Rasch Models. R package version 0.4.3, https://cran.r-project.org/web/packages/iarm
Previous versions and publish date:
0.1.2 (2019-03-06 13:30), 0.2.0 (2019-05-03 13:10), 0.3.0 (2019-12-04 16:30), 0.4.1 (2020-04-19 15:00), 0.4.2 (2020-09-12 07:40)
Other packages that cited iarm R package
View iarm citation profile
Other R packages that iarm depends, imports, suggests or enhances
Functions, R codes and Examples using the iarm R package
Some associated functions: ICCplot . amts . boot_fit . clr_tests . desc2 . iarm-package . item_obsexp . item_restscore . item_target . out_infit . partgam . partgam_DIF . partgam_LD . person_estimates . print.bootfit . print.outfit . score_groups . test_prop . 
Some associated R codes: Gamma.R . Item-Fit.R . Person-Fit.R . Plots.R . Rasch-Model.R . Summary.R . data.R . iarm.R .  Full iarm package functions and examples
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