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.


Reference manual

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6.4 by Brian McGuire, 2 years ago

Browse source code at

Authors: Angelo Mazza , Antonio Punzo , Brian McGuire

Documentation:   PDF Manual  

Task views:

GPL-2 license

Imports Rcpp, plotrix, rgl, methods

Linking to Rcpp

See at CRAN