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KernSmoothIRT: Nonparametric Item Response Theory
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.
Getting started
Browse package contents
Package details |
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| Author | Angelo Mazza [aut], Antonio Punzo [aut], Brian McGuire [aut, cre] |
| Maintainer | Brian McGuire <mcguirebc@gmail.com> |
| License | GPL-2 |
| Version | 6.6 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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