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.
- Version6.4
- R versionunknown
- LicenseGPL-2
- Needs compilation?Yes
- KernSmoothIRT citation info
- Last release02/17/2020
Team
Brian McGuire
Angelo Mazza, Antonio Punzo, Brian McGuire
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- Imports4 packages
- Linking To1 package