Title: QR Factorization without Pivoting
Authors@R: person(given = "Juan", family = "Claramunt Gonzalez", role = c("aut", "cre","cph"), email
Maintainer: Juan Claramunt Gonzalez <j.claramunt.gonzalez@fsw.leidenuniv.nl>
Description: This function performs QR factorization without pivoting to a numeric matrix. It is based on Anderson. E. and ten others (1999) "LAPACK Users' Guide". Third Edition. SIAM.
Packaged: 2022-06-01 16:11:23 UTC; jclaramunt
Author: Juan Claramunt Gonzalez [aut, cre, cph]

Description: This function performs QR factorization without pivoting to a real or complex matrix. It is based on Anderson. E. and ten others (1999) "LAPACK Users' Guide". Third Edition. SIAM.

Title: A 'Shiny' Gadget for Interactive 'QRA' Visualizations
Description: Upload raster data and easily create interactive quantitative risk analysis 'QRA' visualizations. Select
from numerous color palettes, base-maps, and different configurations.
Imports: htmlwidgets, leaflet, magrittr, miniUI, raster, scales, shiny,
Packaged: 2016-09-23 16:50:30 UTC; paulgovan

Title: Quadratically Regularized Functional Canonical Correlation
Description: Conduct quadratically regularized functional canonical correlation analysis.  The details of the method are explained in Nan Lin, Yun Zhu, Ruzhong Fan and Momiaoxiong (2017) <DOI:10.1371/journal.pcbi.1005788>.

Title: 10-Year Cardiovascular Disease Risk Calculator (QRISK3 2017)
Author: Yan Li <bluefatterplaydota@gmail.com> [aut, cre, trl],
Description: This function aims to calculate risk of developing cardiovascular disease of individual patients in next 10 years. The package was based on published risk prediction algorithm <https://qrisk.org/three/src.php>.

Packaged: 2022-11-21 11:33:07 UTC; legendmiao

Title: Quantile Regression Index (QRI) Score
Description: QRI 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.