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.

Version: 0.2.1
Depends: R (≥ 2.10)
Imports: ggplot2, quantreg, stats
Published: 2020-10-20
Author: Peter Kochunov [aut], Si Gao [aut, cre], Meghann Ryan [aut]
Maintainer: Si Gao <sgao at som.umaryland.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: QRIpkg results


Reference manual: QRIpkg.pdf
Package source: QRIpkg_0.2.1.tar.gz
Windows binaries: r-devel: QRIpkg_0.2.1.zip, r-release: QRIpkg_0.2.1.zip, r-oldrel: QRIpkg_0.2.1.zip
macOS binaries: r-release: QRIpkg_0.2.1.tgz, r-oldrel: QRIpkg_0.2.1.tgz
Old sources: QRIpkg archive


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