rgn: Example datasets for demonstrating the features of regnet

In jrhub/regnet: Network-Based Regularization for Generalized Linear Models

Example datasets for demonstrating the features of regnet

Description

Example datasets for demonstrating the features of regnet.

Usage

data("LogisticExample")
data("SurvExample")
data("ContExample")
data("HeteroExample")

Format

"LogisticExample", "SurvExample" and "HeteroExample" are simulated data. Each data includes three main components: X, Y, and beta; beta is a vector of the true coefficients used to generate Y.

"ContExample" is a subset of the skin cutaneous melanoma data from the Cancer Genome Atlas (TCGA). The response variable Y is the log-transformed Breslow’s depth. X is a matrix of gene expression data.

Examples

data("LogisticExample")
lapply(rgn.logi, class)

jrhub/regnet documentation built on Feb. 22, 2024, 2:56 p.m.