skip_on_os(c("mac", "solaris"))
skip_if_not_installed("survey")
skip_if_not_installed("sjstats")
skip_if_not_installed("effects")
test_that("ggpredict and ggeffect, svyglm", {
data(nhanes_sample, package = "sjstats")
nhanes_sample$total <- as.numeric(nhanes_sample$total > median(nhanes_sample$total, na.rm = TRUE))
# create survey design
des <- survey::svydesign(
id = ~SDMVPSU,
strat = ~SDMVSTRA,
weights = ~WTINT2YR,
nest = TRUE,
data = nhanes_sample
)
# fit negative binomial regression
fit <- suppressWarnings(survey::svyglm(
total ~ RIAGENDR + age + RIDRETH1,
des,
family = binomial(link = "logit")
))
expect_s3_class(ggpredict(fit, "age", verbose = FALSE), "data.frame")
expect_s3_class(ggpredict(fit, c("age", "RIAGENDR"), verbose = FALSE), "data.frame")
expect_s3_class(ggeffect(fit, "age", verbose = FALSE), "data.frame")
expect_s3_class(ggeffect(fit, c("age", "RIAGENDR"), verbose = FALSE), "data.frame")
})
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