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.
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curl https://depscope.dev/api/check/conda/r-kernsmoothirtFirst published · 2022-09-07 12:19:09.308000+00:00
Last updated · 2026-03-20 00:52:37.769000+00:00