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make_glm_data <- function(n = 500, p = 5, seed = 1L,
response = c("binomial", "gaussian", "poisson", "gamma_log"))
{
response <- match.arg(response)
set.seed(seed)
X <- cbind(1, matrix(rnorm(n * (p - 1)), n, p - 1))
colnames(X) <- c("(Intercept)", paste0("x", seq_len(p - 1)))
beta_true <- c(0.2, 0.5, -0.3, 0.4, -0.2)[seq_len(p)]
eta <- as.vector(X %*% beta_true)
y <- switch(response,
binomial = rbinom(n, 1, plogis(eta)),
gaussian = eta + rnorm(n, sd = 0.5),
poisson = rpois(n, exp(eta)),
gamma_log = rgamma(n, shape = 2, rate = 2 / exp(eta)))
list(X = X, y = y, beta_true = beta_true, n = n, p = p)
}
family_for <- function(name) {
switch(name,
binomial = binomial(),
gaussian = gaussian(),
poisson = poisson(),
gamma_log = Gamma(link = "log"))
}
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