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KernSmoothIRT  

Nonparametric Item Response Theory
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("KernSmoothIRT", "6.4")



Attach the package and use:
library("KernSmoothIRT")
Maintained by
Brian McGuire
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-08-19
Latest Update: 2020-02-17
Description:
Fits nonparametric item and option characteristic curves using kernel smoothing. It allows for optimal selection of the smoothing bandwidth using cross-validation and a variety of exploratory plotting tools. The kernel smoothing is based on methods described in Silverman, B.W. (1986). Density Estimation for Statistics and Data Analysis. Chapman & Hall, London.
How to cite:
Brian McGuire (2011). KernSmoothIRT: Nonparametric Item Response Theory. R package version 6.4, https://cran.r-project.org/web/packages/KernSmoothIRT. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.0 (2011-08-19 19:21), 2.0 (2011-12-16 18:47), 3.0 (2012-05-03 16:42), 5.0 (2013-03-06 19:54), 6.0 (2013-09-16 23:04), 6.1 (2014-06-17 21:47), 6.2 (2019-08-21 23:50), 6.3 (2020-02-11 22:50)
Other packages that cited KernSmoothIRT R package
View KernSmoothIRT citation profile
Other R packages that KernSmoothIRT depends, imports, suggests or enhances
Complete documentation for KernSmoothIRT
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