KernSmoothIRT (6.2)

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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.

Maintainer: Brian McGuire
Author(s): Angelo Mazza, Antonio Punzo, Brian McGuire

License: GPL-2

Uses: plotrix, Rcpp, rgl

Released 4 months ago.

6 previous versions



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