lm.net: Fitting Linear Regression Models for Network-linked Data

In brtang63/StatComp21060: Final project of statistical computing

Description

Fitting Linear Regression Models for Network-linked Data

Usage

lm.net(X, Y, Adj, lambda = 0.1, gamma = 0.01)

Arguments

X	Design matrix of predictors.“
Y	Response vector.
Adj	Adjacency matrix.
lambda	Regularization parameter.
gamma	Tuning parameter controlling the degree of jittering.

Value

A list object comprising:

alpha	Vector of network cohesion.
beta	Regression coefficients.

Examples

V <- 100
p <- 3
K <- 3
data <- generate.data(V, K, p)
lm.net(data$X, data$Y, data$Adj)

brtang63/StatComp21060 documentation built on Dec. 24, 2021, 1:25 a.m.