skip_if_not_installed("modeltests")
library(modeltests)
skip_if_not_installed("survival")
suppressPackageStartupMessages(library(survival))
fit <- coxph(Surv(time, status) ~ age + sex, lung)
fit2 <- coxph(Surv(time, status) ~ age + sex, lung, robust = TRUE)
fit3 <- coxph(Surv(time, status) ~ age + sex + frailty(inst), lung)
bladder1 <- bladder[bladder$enum < 5, ]
fit4 <- coxph(Surv(stop, event) ~ (rx + size + number) * strata(enum) +
cluster(id), bladder1)
# this model does not have summary(x)$used.robust
fit5 <- coxph(Surv(time, status) ~ age + pspline(nodes), data = colon)
colon$super_long_variable_name_that_would_be_truncated <- colon$nodes
# see #1153
fit6 <- coxph(Surv(time, status) ~ age +
pspline(super_long_variable_name_that_would_be_truncated),
data = colon)
test_that("coxph tidier arguments", {
check_arguments(tidy.coxph)
check_arguments(glance.coxph)
check_arguments(augment.coxph)
})
test_that("tidy.coxph", {
td <- tidy(fit)
td2 <- tidy(fit, exponentiate = TRUE)
td3 <- tidy(fit2)
td4 <- tidy(fit3)
td5 <- tidy(fit3, exponentiate = TRUE)
td6 <- tidy(fit3, conf.int = TRUE)
td7 <- tidy(fit4)
td8 <- tidy(fit4, exponentiate = TRUE)
td9 <- tidy(fit4, conf.int = TRUE)
td10 <- tidy(fit5)
td11 <- tidy(fit5, conf.int = TRUE)
td12 <- tidy(fit6, maxlabel = 1000)
check_tidy_output(td)
check_tidy_output(td2)
check_tidy_output(td3)
check_tidy_output(td4)
check_tidy_output(td5)
check_tidy_output(td6)
check_tidy_output(td7)
check_tidy_output(td8)
check_tidy_output(td9)
check_tidy_output(td10)
check_tidy_output(td11)
check_tidy_output(td12)
expect_equal(
td12$term[2],
"pspline(super_long_variable_name_that_would_be_truncated), linear"
)
})
test_that("glance.coxph", {
gl <- glance(fit)
gl2 <- glance(fit2)
gl3 <- glance(fit3)
gl4 <- glance(fit4)
check_glance_outputs(gl, gl2, gl3, gl4, strict = FALSE)
})
test_that("augment.coxph", {
check_augment_function(
aug = augment.coxph,
model = fit,
data = lung,
newdata = lung
)
check_augment_function(
aug = augment.coxph,
model = fit2,
data = lung,
newdata = lung
)
})
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