bigstep (version 0.7.4)

fitPoisson: Poisson regression

Description

Fit the Poisson regression model and calculate the log-likelihood.

Usage

fitPoisson(X, y)

Arguments

X

a numeric matrix.

y

a numeric vector.

Value

A number, the log-likelihood.

Examples

# NOT RUN {
set.seed(1)
n <- 100
M <- 10
X <- matrix(rnorm(M*n), ncol=M)
mu <- X[, 2] - X[, 3] + X[, 6] - X[, 10]
y <- rpois(n, exp(mu))
fitPoisson(X, y)
# }