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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: | 0.2.2 |
| Depends: | R (≥ 2.10) |
| Imports: | ggplot2, quantreg, stats |
| Published: | 2021-02-25 |
| DOI: | 10.32614/CRAN.package.QRIpkg |
| 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_0.2.2.tar.gz |
| Windows binaries: | r-devel: QRIpkg_0.2.2.zip, r-release: QRIpkg_0.2.2.zip, r-oldrel: QRIpkg_0.2.2.zip |
| macOS binaries: | r-release (arm64): QRIpkg_0.2.2.tgz, r-oldrel (arm64): QRIpkg_0.2.2.tgz, r-release (x86_64): QRIpkg_0.2.2.tgz, r-oldrel (x86_64): QRIpkg_0.2.2.tgz |
| Old sources: | QRIpkg archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.