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-4.7-any)QRIpkg_0.2.2.zip(r-4.6-any)QRIpkg_0.2.2.zip(r-4.5-any)
QRIpkg_0.2.2.tgz(r-4.6-any)QRIpkg_0.2.2.tgz(r-4.5-any)
QRIpkg_0.2.2.tar.gz(r-4.7-any)QRIpkg_0.2.2.tar.gz(r-4.6-any)
QRIpkg_0.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
QRIpkg/json (API)

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

On CRAN:

Conda:

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

1.00 score 233 downloads 2 exports 24 dependencies

Last updated from:7281d2f311. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK98
source / vignettesOK141
linux-releaseOK90
macos-releaseOK121
macos-oldrelOK84
windows-develOK59
windows-releaseOK64
windows-oldrelOK60
wasm-releaseOK92

Exports:QRI_funcQRI_plot

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglatticelifecycleMASSMatrixMatrixModelsquantregR6RColorBrewerrlangS7scalesSparseMsurvivalvctrsviridisLitewithr