Package: QRIpkg 0.2.2

Si Gao

QRIpkg: Quantile Regression Index Score

The QRI_func() function performs quantile regression analysis using age and sex as predictors to calculate the Quantile Regression Index (QRI) score for each individual’s regional brain imaging metrics and then averages across the regional scores to generate an average tissue specific score for each subject. The QRI_plot() is used to plot QRI and generate the normative curves for individual measurements.

Authors:Peter Kochunov [aut], Si Gao [aut, cre], Meghann Ryan [aut]

QRIpkg_0.2.2.tar.gz
QRIpkg_0.2.2.zip(r-4.5)QRIpkg_0.2.2.zip(r-4.4)QRIpkg_0.2.2.zip(r-4.3)
QRIpkg_0.2.2.tgz(r-4.4-any)QRIpkg_0.2.2.tgz(r-4.3-any)
QRIpkg_0.2.2.tar.gz(r-4.5-noble)QRIpkg_0.2.2.tar.gz(r-4.4-noble)
QRIpkg_0.2.2.tgz(r-4.4-emscripten)QRIpkg_0.2.2.tgz(r-4.3-emscripten)
QRIpkg.pdf |QRIpkg.html
QRIpkg/json (API)

# Install 'QRIpkg' in R:
install.packages('QRIpkg', repos = c('https://abestsg.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

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

1.00 score 186 downloads 2 exports 32 dependencies

Last updated 4 years agofrom:7281d2f311. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 17 2024
R-4.5-winOKNov 17 2024
R-4.5-linuxOKNov 17 2024
R-4.4-winOKNov 17 2024
R-4.4-macOKNov 17 2024
R-4.3-winOKNov 17 2024
R-4.3-macOKNov 17 2024

Exports:QRI_funcQRI_plot

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmgcvmunsellnlmepillarpkgconfigquantregR6RColorBrewerrlangscalesSparseMsurvivaltibbleutf8vctrsviridisLitewithr