Nothing
source("_code_for_all_.R")
ipw_est0 <- nonprob(selection = ~ region + private + nace + size,
target = ~ single_shift,
svydesign = jvs_svy,
data = admin,
method_selection = "logit",
se = T)
ipw_est1 <- nonprob(selection = ~ region + private + nace + size,
target = ~ single_shift,
svydesign = jvs_svy,
data = admin,
method_selection = "logit",
se = F)
set.seed(2025)
ipw_est2 <- nonprob(selection = ~ region + private + nace + size,
target = ~ single_shift,
svydesign = jvs_svy,
data = admin,
method_selection = "logit",
control_inference=control_inf(var_method = "bootstrap",
num_boot = 20)
)
# test update --------------------------------------------------------------
expect_equal(
update(ipw_est1, se = T)$output$SE,
0.042077108910903
)
expect_equal(
update(ipw_est1, method_selection = "probit")$output$mean,
0.723953845426239
)
expect_equal(
update(ipw_est2, control_inference=control_inf())$output$SE,
0.042077108910903
)
# test confint ------------------------------------------------------------
expect_equal(
confint(ipw_est0),
structure(list(target = "single_shift", lower_bound = 0.63989316387091,
upper_bound = 0.804832399948789), row.names = 1L, class = "data.frame")
)
expect_equal(
confint(ipw_est0, level = 0.99),
structure(list(target = "single_shift", lower_bound = 0.613979331768527,
upper_bound = 0.830746232051172), row.names = 1L, class = "data.frame")
)
expect_equal(
confint(ipw_est1),
structure(list(target = "single_shift", lower_bound = 0.63989316387091,
upper_bound = 0.804832399948789), row.names = 1L, class = "data.frame")
)
expect_equal(
confint(ipw_est1, level = 0.99),
structure(list(target = "single_shift", lower_bound = 0.613979331768527,
upper_bound = 0.830746232051172), row.names = 1L, class = "data.frame")
)
expect_equal(
confint(ipw_est2, level = 0.99),
structure(list(target = "single_shift", lower_bound = 0.638949983302244,
upper_bound = 0.791077693520481), row.names = 1L, class = "data.frame")
)
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