coef.cv.ProxGrad {CPGLIB} | R Documentation |
Coefficients for cv.ProxGrad Object
Description
coef.cv.ProxGrad
returns the coefficients for a cv.ProxGrad object.
Usage
## S3 method for class 'cv.ProxGrad'
coef(object, ...)
Arguments
object |
An object of class cv.ProxGrad. |
... |
Additional arguments for compatibility. |
Value
The coefficients for the cv.ProxGrad object.
Author(s)
Anthony-Alexander Christidis, anthony.christidis@stat.ubc.ca
See Also
Examples
# Data simulation
set.seed(1)
n <- 50
N <- 2000
p <- 1000
beta.active <- c(abs(runif(p, 0, 1/2))*(-1)^rbinom(p, 1, 0.3))
# Parameters
p.active <- 100
beta <- c(beta.active[1:p.active], rep(0, p-p.active))
Sigma <- matrix(0, p, p)
Sigma[1:p.active, 1:p.active] <- 0.5
diag(Sigma) <- 1
# Train data
x.train <- mvnfast::rmvn(n, mu = rep(0, p), sigma = Sigma)
prob.train <- exp(x.train %*% beta)/
(1+exp(x.train %*% beta))
y.train <- rbinom(n, 1, prob.train)
# Test data
x.test <- mvnfast::rmvn(N, mu = rep(0, p), sigma = Sigma)
prob.test <- exp(x.test %*% beta)/
(1+exp(x.test %*% beta))
y.test <- rbinom(N, 1, prob.test)
# CV ProxGrad - Single Group
proxgrad.out <- cv.ProxGrad(x.train, y.train,
glm_type = "Logistic",
include_intercept = TRUE,
alpha_s = 3/4,
n_lambda_sparsity = 100,
tolerance = 1e-5, max_iter = 1e5)
# Coefficients
coef(proxgrad.out)
[Package CPGLIB version 1.1.1 Index]