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dglars (version 2.1.7)

coef.cvdglars: Extract the Coefficients Estimated by cvdglars

Description

coef.cvdglars is used to extract the coefficients estimated by \(k\)-fold cross-validation deviance.

Usage

# S3 method for cvdglars
coef(object, ...)

Value

coef.cvdglars returns a named list with components beta, i.e., the estimate of the coefficient vector, and phi the estimate of the dispersion parameter.

Arguments

object

fitted cvdglars object

...

additional argument used to ensure the compatibility with the generic method function “coef”.

Author

Luigi Augugliaro
Maintainer: Luigi Augugliaro luigi.augugliaro@unipa.it

See Also

cvdglars function.

Examples

Run this code
###########################
# Logistic regression model
set.seed(123)
n <- 100
p <- 10
X <- matrix(rnorm(n * p), n, p)
b <- 1:2
eta <- b[1] + X[,1] * b[2]
mu <- binomial()$linkinv(eta)
y <- rbinom(n, 1, mu)
fit <- cvdglars.fit(X, y, family = binomial)
coef(fit)

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