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:
KernSmoothIRT_6.4.tar.gz
KernSmoothIRT_6.4.zip(r-4.5)KernSmoothIRT_6.4.zip(r-4.4)KernSmoothIRT_6.4.zip(r-4.3)
KernSmoothIRT_6.4.tgz(r-4.4-x86_64)KernSmoothIRT_6.4.tgz(r-4.4-arm64)KernSmoothIRT_6.4.tgz(r-4.3-x86_64)KernSmoothIRT_6.4.tgz(r-4.3-arm64)
KernSmoothIRT_6.4.tar.gz(r-4.5-noble)KernSmoothIRT_6.4.tar.gz(r-4.4-noble)
KernSmoothIRT_6.4.tgz(r-4.4-emscripten)KernSmoothIRT_6.4.tgz(r-4.3-emscripten)
KernSmoothIRT.pdf |KernSmoothIRT.html✨
KernSmoothIRT/json (API)
# Install 'KernSmoothIRT' in R: |
install.packages('KernSmoothIRT', repos = c('https://mcguirebc.r-universe.dev', 'https://cloud.r-project.org')) |
- BDIkey - The Beck Depression Inventory Data
- BDIkey - The Beck Depression Inventory Data
- BDIresponses - The Beck Depression Inventory Data
- BDIresponses - The Beck Depression Inventory Data
- HIV - The HIV Data
- HIV - The HIV Data
- HIVkey - The HIV Data
- HIVkey - The HIV Data
- Psychkey - The Introductory Psychology Data
- Psychkey - The Introductory Psychology Data
- Psychresponses - The Introductory Psychology Data
- Psychresponses - The Introductory Psychology Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:aa66d5b51a. Checks:OK: 4 NOTE: 5. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 02 2024 |
R-4.5-win-x86_64 | NOTE | Nov 02 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 02 2024 |
R-4.4-win-x86_64 | NOTE | Nov 02 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 02 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 02 2024 |
R-4.3-win-x86_64 | OK | Nov 02 2024 |
R-4.3-mac-x86_64 | OK | Nov 02 2024 |
R-4.3-mac-aarch64 | OK | Nov 02 2024 |
Exports:itemcorksIRTPCAplot.ksIRTprint.ksIRTsubjEISsubjEISDIFsubjETSsubjETSDIFsubjOCCsubjOCCDIFsubjscoresubjscoreMLsubjthetaML
Dependencies:base64encbslibcachemclidigestevaluatefastmapfontawesomefsgluehighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlifecyclemagrittrmemoisemimeplotrixR6rappdirsRcpprglrlangrmarkdownsasstinytexxfunyaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
KernSmoothIRT Package | KernSmoothIRT |
The Beck Depression Inventory Data | BDI BDIkey BDIresponses |
The HIV Data | HIV HIVkey |
ksIRT - kernel smoothing in Item Response Theory | itemcor |
ksIRT - kernel smoothing in Item Response Theory | ksIRT print.ksIRT |
ksIRT - kernel smoothing in Item Response Theory | PCA |
Plot Method for ksIRT - kernel smoothing in Item Response Theory | plot plot.ksIRT |
The Introductory Psychology Data | Psych101 Psychkey Psychresponses |
ksIRT - kernel smoothing in Item Response Theory | subjEIS |
ksIRT - kernel smoothing in Item Response Theory | subjEISDIF |
ksIRT - kernel smoothing in Item Response Theory | subjETS |
ksIRT - kernel smoothing in Item Response Theory | subjETSDIF |
ksIRT - kernel smoothing in Item Response Theory | subjOCC |
ksIRT - kernel smoothing in Item Response Theory | subjOCCDIF |
ksIRT - kernel smoothing in Item Response Theory | subjscore |
ksIRT - kernel smoothing in Item Response Theory | subjscoreML |
ksIRT - kernel smoothing in Item Response Theory | subjthetaML |