Package: KernSmoothIRT 6.4

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.

Authors:Angelo Mazza, Antonio Punzo, Brian McGuire

KernSmoothIRT_6.4.tar.gz
KernSmoothIRT_6.4.zip(r-4.7)KernSmoothIRT_6.4.zip(r-4.6)KernSmoothIRT_6.4.zip(r-4.5)
KernSmoothIRT_6.4.tgz(r-4.6-x86_64)KernSmoothIRT_6.4.tgz(r-4.6-arm64)KernSmoothIRT_6.4.tgz(r-4.5-x86_64)KernSmoothIRT_6.4.tgz(r-4.5-arm64)
KernSmoothIRT_6.4.tar.gz(r-4.7-arm64)KernSmoothIRT_6.4.tar.gz(r-4.7-x86_64)KernSmoothIRT_6.4.tar.gz(r-4.6-arm64)KernSmoothIRT_6.4.tar.gz(r-4.6-x86_64)
KernSmoothIRT_6.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
KernSmoothIRT/json (API)

# Install 'KernSmoothIRT' in R:
install.packages('KernSmoothIRT', repos = c('https://mcguirebc.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

2.09 score 1 stars 31 scripts 209 downloads 4 mentions 14 exports 30 dependencies

Last updated from:aa66d5b51a. Checks:11 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE183
linux-devel-x86_64NOTE178
source / vignettesOK216
linux-release-arm64NOTE185
linux-release-x86_64NOTE163
macos-release-arm64NOTE213
macos-release-x86_64NOTE412
macos-oldrel-arm64NOTE247
macos-oldrel-x86_64NOTE232
windows-develNOTE160
windows-releaseNOTE123
windows-oldrelNOTE108
wasm-releaseOK156

Exports:itemcorksIRTPCAplot.ksIRTprint.ksIRTsubjEISsubjEISDIFsubjETSsubjETSDIFsubjOCCsubjOCCDIFsubjscoresubjscoreMLsubjthetaML

Dependencies:base64encbslibcachemclidigestevaluatefastmapfontawesomefshighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlifecyclemagrittrmemoisemimeplotrixR6rappdirsRcpprglrlangrmarkdownsasstinytexxfunyaml