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.
Version: | 6.3 |
Imports: | Rcpp, plotrix, rgl, methods |
LinkingTo: | Rcpp |
Published: | 2020-02-11 |
Author: | Angelo Mazza, Antonio Punzo, Brian McGuire |
Maintainer: | Brian McGuire <mcguirebc at gmail.com> |
License: | GPL-2 |
NeedsCompilation: | yes |
Citation: | KernSmoothIRT citation info |
CRAN checks: | KernSmoothIRT results |
Reference manual: | KernSmoothIRT.pdf |
Package source: | KernSmoothIRT_6.3.tar.gz |
Windows binaries: | r-devel: KernSmoothIRT_6.2.zip, r-devel-gcc8: KernSmoothIRT_6.2.zip, r-release: KernSmoothIRT_6.2.zip, r-oldrel: KernSmoothIRT_6.2.zip |
OS X binaries: | r-release: KernSmoothIRT_6.3.tgz, r-oldrel: KernSmoothIRT_6.3.tgz |
Old sources: | KernSmoothIRT archive |
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