.runThisTest <- Sys.getenv("RunAllinsightTests") == "yes"
if (.runThisTest &&
requiet("glmmTMB") &&
requiet("lme4") &&
requiet("TMB") &&
getRversion() >= "4.0.0") {
data(mtcars)
m1 <- suppressWarnings(glmer.nb(mpg ~ disp + (1 | cyl) + offset(log(wt)), data = mtcars))
m2 <- suppressWarnings(glmer.nb(mpg ~ disp + (1 | cyl), offset = log(wt), data = mtcars))
test_that("null_model with offset", {
nm1 <- null_model(m1)
nm2 <- null_model(m2)
expect_equal(fixef(nm1), fixef(nm2), tolerance = 1e-4)
})
skip_on_os("mac") # error: FreeADFunObject
m1 <- suppressWarnings(glmmTMB(mpg ~ disp + (1 | cyl) + offset(log(wt)), data = mtcars))
m2 <- suppressWarnings(glmmTMB(mpg ~ disp + (1 | cyl), offset = log(wt), data = mtcars))
test_that("null_model with offset", {
nm1 <- null_model(m1)
nm2 <- null_model(m2)
expect_equal(fixef(nm1), fixef(nm2), tolerance = 1e-4)
})
# set.seed(123)
# N <- 100 # Samples
# x <- runif(N, 0, 10) # Predictor
# off <- rgamma(N, 3, 2) # Offset variable
# yhat <- -1 + x * 0.5 + log(off) # Prediction on log scale
#
# y <- rpois(N, exp(yhat)) # Poisson process
# y <- ifelse(rbinom(N, 1, 0.3), 0, y) # Zero-inflation process
#
# d <<- data.frame(y = y, x, logOff = log(off)) # Storage dataframe
#
# m1 <- glm(y ~ x + offset(logOff), data = d, family = "poisson")
# m2 <- glm(y ~ x, offset = logOff, data = d, family = "poisson")
#
# test_that("null_model with offset", {
# nm1 <- null_model(m1)
# nm2 <- null_model(m2)
# expect_equal(coef(nm1), coef(nm2), tolerance = 1e-4)
# })
}
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