diabetes: Diabetes data with interaction terms

In hsstan: Hierarchical Shrinkage Stan Models for Biomarker Selection

Description

The dataset consists of observations on 442 individuals for which a quantitative measure of diabetes progression is recorded in variable Y. Predictors include 10 baseline measurements, 45 interactions and 9 quadratic terms, for a total of 64 variables for each individual. Each variable has been standardized by subtracting the mean and then dividing it by its standard deviation.

Format

A data frame with 442 rows and 65 columns (centred and scaled).

Source

B. Efron, T. Hastie, I. Johnstone and R. Tibshirani (2004), Least angle regression, The Annals of Statistics, 32 (2), 407-499. doi: 10.1214/009053604000000067

The original dataset is available from https://web.stanford.edu/~hastie/Papers/LARS/data64.txt

Examples

data(diabetes, package="hsstan")

hsstan documentation built on Sept. 16, 2021, 9:11 a.m.